Authors;Title;Year;Source title;Cited by;Affiliations;Abstract;Author Keywords;Document Type;Open Access
Balta-Ozkan N., Davidson R., Bicket M., Whitmarsh L.;Social barriers to the adoption of smart homes;2013;Energy Policy;318;"Policy Studies Institute at the University of Westminster, 50 Hanson Street, London, W1W 6UP, United Kingdom; Health Services Research, School of Health Sciences, City University London, Northampton Square, London, EC1V OHB, United Kingdom; Cardiff University, School of Psychology, Tower Building, 70 Park Place, Cardiff, CF10 3AT, United Kingdom";The aim of this paper is to explore social barriers to the adoption of smart homes through the analysis of expert views and public attitudes. Smart home services aim to improve the comfort, convenience and safety of householders, as well as allowing them to use energy more efficiently and cope with increasing costs. Despite the existence of smart homes and smart home technologies for some time, their prevalence is not widespread, and thus their potential largely untapped. Using a combination of in-depth deliberative public workshops, expert interviews and a review of the existing literature, this paper explores social barriers to smart home diffusion, including how these vary by expertise, life-stage and location. The research highlights the importance of barriers such as control, security, and cost, providing insights for policymakers as well as smart-home designers and developers as to how these might be addressed. © 2013 Elsevier Ltd.;"Public perceptions; Smart homes; Social barriers";Article;
Wilson C., Hargreaves T., Hauxwell-Baldwin R.;Benefits and risks of smart home technologies;2017;Energy Policy;236;"Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, NR4 7TJ, United Kingdom; 3S Group, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom";Smart homes are a priority area of strategic energy planning and national policy. The market adoption of smart home technologies (SHTs) relies on prospective users perceiving clear benefits with acceptable levels of risk. This paper characterises the perceived benefits and risks of SHTs from multiple perspectives. A representative national survey of UK homeowners (n=1025) finds prospective users have positive perceptions of the multiple functionality of SHTs including energy management. Ceding autonomy and independence in the home for increased technological control are the main perceived risks. An additional survey of actual SHT users (n=42) participating in a smart home field trial identifies the key role of early adopters in lowering perceived SHT risks for the mass market. Content analysis of SHT marketing material (n=62) finds the SHT industry are insufficiently emphasising measures to build consumer confidence on data security and privacy. Policymakers can play an important role in mitigating perceived risks, and supporting the energy-management potential of a smart-home future. Policy measures to support SHT market development include design and operating standards, guidelines on data and privacy, quality control, and in situ research programmes. Policy experiences with domestic energy efficiency technologies and with national smart meter roll-outs offer useful precedents. © 2017 The Authors;"Consumer research; Early adopters; Smart homes";Article;All Open Access, Hybrid Gold, Green
Peek S.T.M., Luijkx K.G., Rijnaard M.D., Nieboer M.E., Van Der Voort C.S., Aarts S., Van Hoof J., Vrijhoef H.J.M., Wouters E.J.M.;Older Adults' Reasons for Using Technology while Aging in Place;2016;Gerontology;229;"Department of Health Innovations and Technology, Institute of Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, NL-5631 BN, Netherlands; Centre for Healthcare and Technology, Fontys University of Applied Sciences, Eindhoven, Netherlands; Department of Tranzo, School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands";"Background: Most older adults prefer to age in place, and supporting older adults to remain in their own homes and communities is also favored by policy makers. Technology can play a role in staying independent, active and healthy. However, the use of technology varies considerably among older adults. Previous research indicates that current models of technology acceptance are missing essential predictors specific to community-dwelling older adults. Furthermore, in situ research within the specific context of aging in place is scarce, while this type of research is needed to better understand how and why community-dwelling older adults are using technology. Objective: To explore which factors influence the level of use of various types of technology by older adults who are aging in place and to describe these factors in a comprehensive model. Methods: A qualitative explorative field study was set up, involving home visits to 53 community-dwelling older adults, aged 68-95, living in the Netherlands. Purposive sampling was used to include participants with different health statuses, living arrangements, and levels of technology experience. During each home visit: (1) background information on the participants' chronic conditions, major life events, frailty, cognitive functioning, subjective health, ownership and use of technology was gathered, and (2) a semistructured interview was conducted regarding reasons for the level of use of technology. The study was designed to include various types of technology that could support activities of daily living, personal health or safety, mobility, communication, physical activity, personal development, and leisure activities. Thematic analysis was employed to analyze interview transcripts. Results: The level of technology use in the context of aging in place is influenced by six major themes: challenges in the domain of independent living; behavioral options; personal thoughts on technology use; influence of the social network; influence of organizations, and the role of the physical environment. Conclusion: Older adults' perceptions and use of technology are embedded in their personal, social, and physical context. Awareness of these psychological and contextual factors is needed in order to facilitate aging in place through the use of technology. A conceptual model covering these factors is presented. © 2015 S. Karger AG, Basel.";"Aging in place; Consumer appliances; E-health; Gerontechnology; Information and communication technologies; Model; Qualitative research; Smart home; Technology acceptance; Technology adoption";Article;All Open Access, Hybrid Gold, Green
Marikyan D., Papagiannidis S., Alamanos E.;A systematic review of the smart home literature: A user perspective;2019;Technological Forecasting and Social Change;227;Newcastle University Business School, 5 Barrack Road, Newcastle upon Tyne, NE1 4SE, United Kingdom;A smart home is a residence equipped with smart technologies aimed at providing tailored services for users. Smart technologies make it possible to monitor, control and support residents, which can enhance the quality life and promote independent living. To facilitate the implementation and adoption of smart home technology it is important to examine the user's perspective and the current state of smart homes. Given the fast pace with which the literature has been developing in this area, there is a strong need to revisit the literature. The aim of this paper is to systematically review the smart home literature and survey the current state of play from the users’ perspective. After discussing the systematic methodology, the review presents a comprehensive view of smart home definitions and characteristics. Then the study turns towards a discussion of the smart home types, related services and benefits. After outlining the current state of smart home benefits, the review discusses the challenges and barriers to smart home implementation. This review concludes by providing suggestions for future research. © 2018 Elsevier Inc.;"Smart home; Smart technology; Systematic literature review; User perspective";Article;
Yang H., Lee H., Zo H.;User acceptance of smart home services: An extension of the theory of planned behavior;2017;Industrial Management and Data Systems;150;"Samsung Economic Research Institute, Seoul, South Korea; Interdisciplinary Graduate Program in IT Law, Dankook University, Yongin, South Korea; Department of Business and Technology Management, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea";Purpose - The purpose of this paper is to develop a comprehensive research model that can explain potential customers' behavioral intentions to adopt and use smart home services. Design/methodology/approach - This study proposes and validates a new theoretical model that extends the theory of planned behavior. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 216 survey samples. Findings - Mobility, security/privacy risk, and trust in the service provider are important factors affecting the adoption of smart home services. Practical implications - To increase potential users' adoption rate, service providers should focus on developing mobility-related services that enable people to access smart home services while on the move using mobile devices via control and monitoring functions. Originality/value - This study is the first empirical attempt to examine user acceptance of smart home services, as most of the prior literature has concerned technical features. © Emerald Publishing Limited.;"Automation; Interoperability; Mobility; Security/privacy risk; Smart home services; Theory of planned behaviour";Article;
Pal D., Funilkul S., Charoenkitkarn N., Kanthamanon P.;Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective;2018;IEEE Access;148;"IP Communications Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand; Requirements Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand; Data Science and Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand";Although an Internet-of-Things-based smart home solution can provide an improved and better approach to healthcare management, yet its end user adoption is very low. With elderly people as the main target, these conservative users pose a serious challenge to the successful implementation of smart home healthcare services. The objective of this research was to develop and test a theoretical framework empirically for determining the core factors that can affect the elderly users' acceptance of smart home services for healthcare. Accordingly, an online survey was conducted with 254 elderly people aged 55 years and above across four Asian countries. Partial least square structural equation modeling was applied to analyze the effect of eight hypothesized predicting constructs. The user perceptions were measured on a conceptual level rather than the actual usage intention toward a specific service. Performance expectancy, effort expectancy, expert advice, and perceived trust have a positive impact on the behavioral intention. The same association is negative for technology anxiety and perceived cost. Facilitating conditions and social influence do not have any effect on the behavioral intention. The model could explain 81.4% of the total variance in the dependent variable i.e., behavioral intention. Effort expectancy is the leading predictor of smart homes for healthcare acceptance among the elderly. Together with expert advice, perceived trust, and perceived cost, these four factors represent the key influence of the elderly peoples' acceptance behavior. This paper provides the groundwork to explore the process of the actual adoption of smart home services for healthcare by the elderly people with potential future research areas. © 2013 IEEE.;"Elderly; healthcare; smart homes";Review;All Open Access, Gold
Park E., Cho Y., Han J., Kwon S.J.;Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment;2017;IEEE Internet of Things Journal;123;"College of Computing, Graduate School of Human-Computer Interaction, Hanyang University, Seoul, South Korea; Department of Business Administration, Dongguk University, Gyeongju, South Korea";With rapid improvements in communication technologies and infrastructure, the Internet of Things (IoT) has become a promising sector within the global information and communication technology industry. Various fields are employing the concept of IoT for their traditional products and services for convenient use by consumers. In the construction industry, the majority of leading companies and organizations are using IoT technologies in a smart home environment. However, only few studies have focused on the user experience of IoT technologies in such an environment. Thus, the current study explores the key determinants of user acceptance of IoT technologies in a smart home environment, and investigates a research model integrated with five potential user factors and a technology acceptance model. The results of the collected data, which were investigated using a structural equation modeling method, show that three positive motivations, compatibility, connectedness, and control, and a negative hindrance, cost, are significant determinants of the technology acceptance behavior of users. The current study can serve as a foundation for future studies on improving IoT technologies in a smart home environment by considering the user experience. © 2017 IEEE.;"Compatibility; connectedness; Internet of Things (IoT); technology acceptance model (TAM)";Article;
Kim Y., Park Y., Choi J.;A study on the adoption of IoT smart home service: using Value-based Adoption Model;2017;Total Quality Management and Business Excellence;117;"Graduate School of Business, Soongsil University, Seoul, South Korea; College of Business Administration, Soongsil University, Seoul, South Korea";This study aims to comprehensively examine the adoption of smart home service. A new model combining VAM (Value-based Adoption Model) and TAM (Technical Acceptance Model) was developed and analysed with a set of variables from Unified Theory of Acceptance and Use of Technology and Elaboration Likelihood Model. Perceived value was affected by both perceived benefit and perceived sacrifice. In particular, perceived benefit was found to have a strong positive effect on perceived value. In contrast, privacy risk and innovation resistance were found to limit perceived value. This study holds considerable significance as it proposes a new approach to IoT (Internet of Things)-based smart home service adoption using VAM and TAM. Through these two models, the study determined that it is imperative for businesses to constitute and secure appropriate infrastructure for residents to use IoT-based smart home service. Developing content related to security is also crucial. © 2017 Informa UK Limited, trading as Taylor & Francis Group.;"IoT; smart home service; Value-based Adoption Model";Article;
Dütschke E., Paetz A.-G.;Dynamic electricity pricing-Which programs do consumers prefer?;2013;Energy Policy;111;"Fraunhofer Institute for Systems and Innovations Research, Breslauer Str. 48, 76139 Karlsruhe, Germany; Karlsruhe Institute of Technology (KIT), Energy Economics, Hertzstr. 16, 76187 Karlsruhe, Germany";"Dynamic pricing is being discussed as one method of demand side management (DSM) which could be crucial for integrating more renewable energy sources into the electricity system. At the same time, there have been very few analyses of consumer preferences in this regard: Which type of pricing program are consumers most likely to choose and why? This paper sheds some light on these issues based on two empirical studies from Germany: (1) A questionnaire study including a conjoint analysis-design and (2) A field experiment with test-residents of a smart home laboratory. The results show that consumers are open to dynamic pricing, but prefer simple programs to complex and highly dynamic ones; smart home technologies including demand automation are seen as a prerequisite for DSM. The study provides some indications that consumers might be more willing to accept more dynamic pricing programs if they have the chance to experience in practice how these can be managed in everyday life. At the same time, the individual and societal advantages of such programs are not obvious to consumers. For this reason, any market roll-out will need to be accompanied by convincing communication and information campaigns to ensure that these advantages are perceived. © 2013 Elsevier Ltd.";"Consumer acceptance; DSM; Smart homes";Article;All Open Access, Green
Shin J., Park Y., Lee D.;Who will be smart home users? An analysis of adoption and diffusion of smart homes;2018;Technological Forecasting and Social Change;107;"Department of Industrial and Management Systems Engineering, KyungHee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi  446-701, South Korea; Department of ICT Industry Research, Korea Information Society Development Institute, 18 Jeongtong-ro, Deoksan-myeon, Jincheon-gun, Chungchengbuk-do  27872, South Korea; Department of Interaction Science, Sungkyunkwan University, 25-2 Sungkyunwan-ro, Jongno-gu, Seoul, South Korea";A smart home is considered a primary service of the Internet of Things (IoT), and global leading companies are launching smart home services/products based on the IoT. However, the spread of smart homes has been slower than expected, and analysis of smart homes from a demand perspective is required. This study suggests implications for promoting the smart home market by analyzing factors affecting adoption and diffusion of smart homes. A technology acceptance model was used to describe the adoption of smart homes and a multivariate probit model was used to describe the diffusion of smart homes. The characteristics of smart homes such as network effects between services/products and the importance of personal information protection were considered in addition to demographic variables. The results of this study show that compatibility, perceived ease of use, and perceived usefulness have significant positive effects on purchase intention. In terms of purchase timing, unlike other information and communication technology (ICT) services/products, older consumers are more likely to purchase smart homes within a given time period than are younger consumers. Therefore, a strategy for promoting smart home purchases by young consumers is required to increase market demand. © 2018;"Consumer behavior; Multivariate probit model; Network externality; Smart home; Technology acceptance model";Article;
Ziefle M., Röcker C., Holzinger A.;Medical technology in smart homes: Exploring the user's perspective on privacy, intimacy and trust;2011;Proceedings - International Computer Software and Applications Conference;88;"Carsten Röcker Communication Science, Human Technology Centre, RWTH Aachen University, Aachen, Germany; Institute for Medical Informatics, Research Unit Human-Computer Interaction, Medical University Graz, Graz, Austria";This paper reports on a study exploring the attitudes of users towards video-based monitoring systems for long-term care of elderly or disabled people in smart home environments. The focus of the study was on investigating the willingness of users to accept medical technology in their homes and the specific conditions under which continuous monitoring would be acceptable. Using the questionnaire method, a total of 165 users (17-95 years) were examined regarding privacy, intimacy and trust issues for medical technology in homes. The results highlight trust and privacy as central requirements, especially when implemented within private spaces. The reported concerns were mostly insensitive to gender and age. Overall, it was revealed that acceptance issues and users' needs and wants should be seriously considered in order to successfully design new medical technologies. © 2011 IEEE.;"Ambient Assisted Living; Medical Technologies; Smart Homes; Technology Acceptance; User Study";Conference Paper;
Alaiad A., Zhou L.;Patients' adoption of WSN-Based smart home healthcare systems: An integrated model of facilitators and barriers;2017;IEEE Transactions on Professional Communication;85;"Jordan University of Science and Technology, Irbid, 22110, Jordan; University of Maryland Baltimore County, Baltimore, MD  21250, United States";Background: Patient-centered care emphasizes care coordination and communication through active involvement of patients, their families, physicians, and other professionals to improve decision making. Smart telecommunication technology and the Internet of Things, such as wireless-sensor-network-based smart home healthcare systems (WSN-SHHS) facilitate communication and collaboration among these different roles. Research problem: Despite the great potential of such systems to improve the quality and experience, and lower the cost of health care, the technology has not been widely adopted partly due to an inadequate understanding of user expectations, needs, and preferences. This study addresses facilitators and barriers with regard to WSN-SHHS adoption by identifying important sociotechnical, cognitive, affective, and contextual factors. Research questions: What are the main facilitators and barriers of patients' adoption of WSN-SHHS? How can we contextualize a generic technology adoption model for WSN-SHHS that takes into account unique characteristics of the domain? Literature review: We surveyed the literature in WSN-SHHS research and application, technology adoption theories, and the pleasure-arousal-dominance emotional state model. We discovered that WSN-SHHS research has focused on technology development but has given little attention to the issue of patients' adoption. Methodology: We used a mixed method design that combined an interview and survey over two studies. Participants were recruited from home healthcare agencies in the eastern US. In semistructured interviews, we collected data from 15 home healthcare patients and medical professionals, and analyzed the data using Kvale's approach. In our online- and paper-based surveys, we analyzed the data from 140 respondents using partial least square. Results and conclusions: We identified several new constructs in relation to WSN-SHHS adoption, including human detachment concerns, privacy concerns, life-quality expectancy and cost concerns. In addition, we confirmed the constructs from the general adoption model. Based on the findings of the qualitative study, the researchers created a research model. The quantitative study provided empirical support for the model, which has substantial predictive power accounting for more than half of the variance in WSN-SHHS adoption. In particular, our findings reveal that human detachment concerns rather than performance expectancy is the strongest predictor of patients' adoption of WSN-SHHS. © 1988-2012 IEEE.;"Internet of things; smart home healthcare systems; usability; wireless-sensor network";Article;
Ehrenhard M., Kijl B., Nieuwenhuis L.;Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population;2014;Technological Forecasting and Social Change;73;University of Twente, NIKOS, Netherlands Institute for Knowledge Intensive Entrepreneurship, PO Box 2177500 AE, Netherlands;For more than a decade, the Smart Home has promised to offer a better quality of life by connecting in-house devices and monitoring their usage. Such platform-based configurational technology has demonstrated the potential to improve comfort, healthcare, safety and security, and energy conservation - both at home and in the office. Moreover, since these technologies foster users' independence, Smart Homes can be both an answer to an aging workforce and a large market for an aging customer base. Nonetheless, so far market adoption has mostly been limited to the luxury segment and the more basic stand-alone technologies. Therefore, the main question driving this study is why Smart Home technology is so scarcely implemented despite its benefits to an aging population. From the literature we derive key market barriers in Smart Home value networks. We expand on these findings by means of a value network analysis of a Dutch smart home implementation case. In addition, we conducted 14 interviews that provide more insight into the value network of specific Smart Home services. Based on our case findings we develop a generic value network for Smart Homes and propose opportunities to improve market adoption of Smart Home technologies. © 2014 Elsevier Inc.;"Aging; Business ecosystem; Market adoption; Platform; Smart home; Value network";Article;
Park E., Kim S., Kim Y.S., Kwon S.J.;Smart home services as the next mainstream of the ICT industry: determinants of the adoption of smart home services;2018;Universal Access in the Information Society;72;"Division of Media, Culture, and Design Technology, College of Computing, Hanyang University, Ansan, South Korea; ICT Convergence and Integration Research Institute, Korea Institute of Civil Engineering and Building Technology, Goyang, South Korea; Geotechnical Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology, Goyang, South Korea; Dongguk University, Gyeongju Campus 123, Dongdae-ro, Gyeongju-si, Gyeongsangbuk-do  38066, South Korea";This study investigated the core motivations for adopting smart home services and explored the approaches and processes through which the motivations were incorporated with the original technology acceptance model (TAM) and the acceptance of the services. To achieve this purpose, an Internet survey was conducted in South Korea. The data (N = 799) from the survey were analyzed using structural equation modeling and confirmatory factor analysis. The results suggested that the perceived compatibility, connectedness, control, system reliability, and enjoyment of smart home services were positively related to the users’ intention to use the services, whereas there was a negative association between the perceived cost and usage intention. The structural results also provided evidence of the validity of the original TAM. Although smart home services have attracted users’ interest in the housing context, only a few studies have examined how the users’ intention to use the services is motivated. The present study represents an initial step to explore the process of adopting smart home services with potential future research areas. © 2017, Springer-Verlag Berlin Heidelberg.;"Compatibility; Perceived connectedness; Smart home services; Technology acceptance model";Article;
Yang H., Lee W., Lee H.;IoT Smart Home Adoption: The Importance of Proper Level Automation;2018;Journal of Sensors;68;"Science and Technology Policy Institute, Sejong National Research Complex, 370 Sicheong-daero, Sejong-si, 30147, South Korea; Interdisciplinary Graduate Program in IT Law, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do, 16890, South Korea; Department of Convergence Security, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do, 16890, South Korea";"The word ""smart"" has been used in various fields and is widely accepted to mean intelligence. Smart home service, one of the representative emerging technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. However, the intelligence and controllability of a smart home service are contradictory concepts, under certain aspects. In addition, the level of intelligence or controllability of a smart home service that users want may differ according to the user. As potential users of smart home services have diversified in recent years, providing the appropriate functions and features is critical to the diffusion of the service. Thus, this study examines the smart home service features that current users require and empirically evaluates the relationship between the critical factors and the adoption behavior with 216 samples from Korea. The moderating effect of personal characteristics on behavior is also tested. The results of the analysis provide various theoretical and practical implications. © 2018 Heetae Yang et al.";;Article;All Open Access, Gold, Green
Shuhaiber A., Mashal I.;Understanding users’ acceptance of smart homes;2019;Technology in Society;65;"College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates; Computer Science Department, Faculty of Information Technology, Aqaba University of Technology, Aqaba, Jordan";Smart homes allow owners to monitor and control wide range of home appliances remotely and intelligently. Despite its potential, the acceptance of smart homes by residents is still far from expectations. Thus, this study aims to investigate the factors that influence residents’ acceptance and usage of smart home. By extending the Technology Acceptance Model (TAM), this research incorporates more factors related to users such as trust, awareness, enjoyment, and perceived risks to study intention to use smart homes and investigate their impact quantitatively by using SEM-PLS approach. Results show that trust, awareness, enjoyment, and perceived risks, with perceived usefulness and perceived ease of use significantly influence attitude towards smart homes which, in turn, impact the intention to use smart homes. © 2019 Elsevier Ltd;"Internet of things; Personal factors; Smart home; Technology acceptance model; User acceptance";Article;
Gaul S., Ziefle M.;Smart home technologies: Insights into generation-specific acceptance motives;2009;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);61;Human Technology Centre (HumTec), RWTH Aachen University, Theaterplatz 14, 52056 Aachen, Germany;In this research we examine the generation specific acceptance motives of eHealth technologies in order to assess the likelihood of success for these new technologies. 280 participants (14 - 92 years of age) volunteered to participate in a survey, in which using motives and barriers toward smart home technologies were explored. The scenario envisaged was the use of a medical stent implemented into the body, which monitors automatically the health status and which is able to remotely communicate with the doctor. Participants were asked to evaluate the pros and cons of the usage of this technology, their acceptance motives and potential utilization barriers. In order to understand the complex nature of acceptance, personal variables (age, technical expertise, health status), individual's cognitive concepts toward ageing as well as perceived usefulness were related. Outcomes show that trust, believe in the reliability of technology, privacy and security as well as intimacy facets are essential for acceptance and should be considered in order to proactively design a successful rollout of smart home technologies. © Springer-Verlag Berlin Heidelberg 2009.;"Aging; Medical technology; Perceived usefulness; Smart home technology; TAM; Technology acceptance";Conference Paper;
Hubert M., Blut M., Brock C., Zhang R.W., Koch V., Riedl R.;The influence of acceptance and adoption drivers on smart home usage;2019;European Journal of Marketing;60;"Aarhus University, Aarhus, Denmark; Aston Business School, Birmingham, United Kingdom; Universität Rostock Wirtschafts und Sozialwissenschaftliche Fakultät, Rostock, Germany; Newcastle University, Newcastle, United Kingdom; Zeppelin University gGmbH, Friedrichshafen, Germany; Johannes Kepler University Linz, Linz, Austria and Upper Austria, University of Applied Sciences, Steyr, Austria";Purpose: This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context. Design/methodology/approach: The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling. Findings: Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application. Research limitations/implications: Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes. Originality/value: This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications. © 2018, Marco Hubert, Markus Blut, Christian Brock, Ruby Wenjiao Zhang, Vincent Koch and René Riedl.;"Innovation diffusion theory; Perceived risk; Smart home application; Technology acceptance model";Article;All Open Access, Green
Maskeliunas R., Damaševicius R., Segal S.;A review of internet of things technologies for ambient assisted living environments;2019;Future Internet;56;"Silesian University of Technology, Kaszubska 23, Gliwice, 44-100, Poland; R. S Research Solutions LTD, 13 Carmel St., Rehovot, 7630513, Israel";The internet of things (IoT) aims to extend the internet to real-world objects, connecting smart and sensing devices into a global network infrastructure by connecting physical and virtual objects. The IoT has the potential to increase the quality of life of inhabitants and users of intelligent ambient assisted living (AAL) environments. The paper overviews and discusses the IoT technologies and their foreseen impacts and challenges for the AAL domain. The results of this review are summarized as the IoT based gerontechnology acceptance model for the assisted living domain. The model focuses on the acceptance of new technologies by older people and underscores the need for the adoption of the IoT for the AAL domain. © 2019 by the authors.;"Ambient assisted living; Gerontechnology; Internet of things; Smart environments; Smart homes; Technology acceptance model";Review;All Open Access, Gold, Green
Demiris G.;Electronic home healthcare: concepts and challenges;2004;International Journal of Electronic Healthcare;55;Health Management and Informatics, University of Missouri-Columbia, 324 Clark Hall, Columbia, Missouri 65211, United States;Telemedicine in homecare – also known as telehomecare (THC) or electronic home healthcare – uses telecommunication and videoconferencing technologies to enable a healthcare provider at the clinical site to communicate with patients in their home. Such an interaction is called a ‘virtual visit’. Numerous applications are utilising commercially available monitoring devices and the internet to enable home-based disease management and monitoring. Prior to the implementation of telehomecare applications, one needs to address issues of accessible design, privacy and confidentiality of medical data, and reimbursement. The evaluation of such applications should focus on their impact on clinical processes, outcomes, cost of and access to care, patients’ and providers’ acceptance. This paper provides an overview of the concepts and challenges of electronic home healthcare. © 2004 Inderscience Enterprises Ltd.;"disease management; home care; self-care; smart home; technologies; telehealth; telemedicine";Article;
Baudier P., Ammi C., Deboeuf-Rouchon M.;Smart home: Highly-educated students' acceptance;2020;Technological Forecasting and Social Change;54;"Léonard De Vinci Pôle Universitaire, Research Center, 12, avenue Léonard De Vinci, Paris La Défense Cedex, 92916, France; Institut Mines-Télécom Business School, 9, rue Charles Fourier, Evry Cedex, 91011, France; Altran Expertise Center Transformation Digitale, 14bis Terrasse Bellini, Puteaux, 92807, France";In the coming years, cities face an urban transition in order to manage their resources, public administration, safety, regional economics, education, innovation, health, culture, and entertainment an efficient way. The Smart City concept includes several smart dimensions relating to the environment, mobility, the economy, governance, people, and living. This study explores the impact of Smart home dimensions on highly-educated students, drawn from what is known as the “digital native” population, one of the key components of the smart living concept. As digital natives are already engaged with the adoption of new technologies and sustainable development, we have postulated that they would be keen to use smart technologies in the home that could improve their daily life while preserving the environment. This study tests a scale developed to measure consumer perception of the Smart Home Concept (SHC) and the impact on “Performance Expectancy” and “Habit”. The model was built using some of the constructs of existing technology acceptance models, such as the UTAUT2 and TAM2 models. Based on our findings, digital natives seem ready to adopt the SHC and our results highlight the fact that Smart Home products could be targeted at this specific population. © 2018 Elsevier Inc.;"Digital natives; Smart cities; Smart home; Smart living; TAM; UTAUT2";Article;
Pal D., Funilkul S., Vanijja V., Papasratorn B.;Analyzing the Elderly Users' Adoption of Smart-Home Services;2018;IEEE Access;54;"IP Communications Laboratory, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand; Requirements Engineering Laboratory, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand";A rapid increase in the percentage of elderly people over the past few years has been a cause of serious concern among the research fraternity worldwide. Active research is being carried out to leverage the benefits of information and communication technologies that enable them to live independently and promote a sense of overall well-being. Smart-homes are often employed to assist this group of people. However, there is a serious lack of relevant exploratory research that tries to measure and explain the intention of these people toward using such a service. In this paper, we propose and validate a new comprehensive research model called the elderly smart home technology acceptance model by extending the original technology acceptance model that can explain the elderly intention to use the smart-homes. An online questionnaire survey is conducted for this purpose, the results of which are analyzed using the Partial least squares Structural Equation Modeling approach on data collected from 254 subjects. Subjective norm, compatibility, automation, self-capability, and satisfaction are positively related to the elderly intention in using smart-homes, whereas there is a negative association between affordability, security/privacy, and usage intention. Two other factors, namely universal connectivity and enjoyment, have no effect on the behavioral intention. The present study is a first empirical attempt that tries to explore the adoption of smart-homes among the elderly, as all other previous research has focused only on the technical aspects and implementation issues rather than the actual usage intention. © 2013 IEEE.;"Behavioral intention; elderly; quality of life; smart-homes";Article;All Open Access, Gold
Nikou S.;Factors driving the adoption of smart home technology: An empirical assessment;2019;Telematics and Informatics;50;Åbo Akademi University, Department of Information Studies, Fänriksgatan 3 B, Turku, 20500, Finland;Smart home technology, an application of Internet of Things (IoT), provides households with e.g., comfort, control and convenience. The technology has been around for sometimes, but its prevalence is not yet widespread, and thus the potentials have largely been underestimated. The purpose of this paper is to develop a comprehensive model that can explain a large percentage of variance in the intention to use smart home technology. To do so, this paper, based on technology acceptance model, diffusion of innovation theory and consumer perceived innovativeness, proposes an integrated model and validates it through Structural Equation Modelling on data collected from 156 respondents. The results reveal that compatibility, perceived usefulness and perceived ease of use are important determinants affecting the adoption of smart home technology. Moreover, trialability while show no direct effect on the intention to use, its affect is realized indirectly via constructs of PU and PEoU. The SEM results also show that the perceived cost negatively impacts the intention to use. This paper is one of the first empirical attempt that includes consumer perceived innovativeness in the model. This paper contributes to the literature of IoT, in particular to smart home technology research. Some theoretical and practical implications are discussed. © 2019 Elsevier Ltd;"Internet of Things; Perceived consumer innovativeness; Perceived cost; Smart home technology";Article;
Aldossari M.Q., Sidorova A.;Consumer Acceptance of Internet of Things (IoT): Smart Home Context;2020;Journal of Computer Information Systems;45;University of North Texas, Denton, TX, United States;The increasing number of devices connected to the internet paves the way for the new era of the internet of things (IoT) computing in which almost every object surrounding us can be transformed into smart entities by equipping objects with sensors, actors, and connectivity technologies. In this study, we seek to examine the consumer acceptance of IoT in smart home context. Drawing on the unified theory of acceptance and use of technology (UTAUT2), we propose an integrative theoretical model that extends UTAUT2 and offers a more comprehensive picture of the factors influencing IoT acceptance and use. The results show that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value are significant predictors of smart home acceptance and use. The results also show that trust and security risk play a significant role in smart home acceptance. We conclude with a discussion of the theoretical and practical implications. © 2018 International Association for Computer Information Systems.;"Internet of Things (IoT); IoT acceptance and use; Smart home";Article;
Hong A., Nam C., Kim S.;What will be the possible barriers to consumers’ adoption of smart home services?;2020;Telecommunications Policy;43;"School of Business and Technology Management, College of Business, Korea Advanced Institute of Science and Technology, N22, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, South Korea; School of Media and Communication, Korea University, 145, Anam-dong, Seongbuk-gu, Seoul, 02841, South Korea";Recently, smart home services have come to the forefront as part of the growing market for the “Internet of Things.” Since these smart home services were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the smart home market has appeared to hit a roadblock and remains at an early market stage. This study attempts to identify the possible barriers that consumers perceive when they are introduced to smart home services. Based on the resistance theory and perceived risk model, we investigate the relationship between perceived risk and resistance to smart home services, using technological uncertainty and service intangibility as the antecedents of perceived risk. Dividing perceived risk into four dimensions—performance risk, financial risk, privacy risk, and psychological risk—the empirical results show that these four risk types are affected by technology uncertainty and service intangibility, and the perceived risks, except for financial risk, have positive effects on the resistance to smart home services. When the survey respondents are divided into two types, postponers and rejecters, the result of postponers is similar with that of total sample, except that privacy risk is unimportant to postponers, and the result of rejecter cannot satisfy the recommended model fit. © 2019 Elsevier Ltd;"Barriers; Internet of things; Perceived risk; Resistance; Smart home; Uncertainty";Article;
Archer N., Keshavjee K., Demers C., Lee R.;Online self-management interventions for chronically ill patients: Cognitive impairment and technology issues;2014;International Journal of Medical Informatics;41;"Information Systems, DeGroote School of Business, McMaster University, Hamilton, Canada; Infoclin, Inc., 567 College Street, Suite 201, Toronto, Canada; Department of Medicine, McMaster University, Hamilton, Canada";Introduction: As the fraction of the population with chronic diseases continues to grow, methods and/or technologies must be found to help the chronically ill to take more responsibility to self-manage their illnesses. Internet based and/or mobile support for disease self-management interventions have often proved effective, but patients with chronic illnesses may have co-occurring cognitive impairment, making it more difficult for them to cope with technologies. Many older patients are also not familiar with technologies or they may have cognitive disabilities or dementia that reduce their ability to self-manage their healthcare. On-line solutions to the needs of chronically ill patients must be investigated and acted upon with care in an integrated manner, since resources invested in these solutions will be lost if patients do not adopt and continue to use them successfully. Objectives: To review the capabilities of online and mobile support for self-management of chronic illnesses, and the impacts that age and disease-related issues have on these interventions, including cognitive impairment and lack of access or familiarity with Internet or mobile technologies. Methods: This study includes a review of the co-occurrence of cognitive impairment with chronic diseases, and discusses how cognitive impairment, dyadic caregiver patient support, patient efficacy with technology, and smart home technologies can impact the effectiveness and sustainability of online support for disease self-management. Results: Disease self-management interventions (SMIs) using online patient centered support can often enable patients to manage their own chronic illnesses. However, our findings show that cognitive impairment often co-occurs in patients with chronic disease. This, along with age-related increases in multiple chronic illnesses and lack of technology efficacy, can be obstacles to Internet and mobile support for chronic disease self-management. Conclusion: Patients with chronic diseases may have greater than expected difficulties in using Internet and mobile technologies for disease self-management, often due to cognitive impairment or unfamiliarity with technology. Approaches to dealing with such barriers include suitable integration of solutions involving patient-caregiver dyads, better design of online applications, careful attention to technology adoption and sustainability, and smart home technologies. © 2014 Elsevier Ireland Ltd.;"Caregiver; Chronic disease; Cognitive impairment; Health self care; Internet; Mobile technology; Smart homes; Technology adoption";Article;
Papadopoulos N., Meliones A., Economou D., Karras I., Liverezas I.;A connected home platform and development framework for smart home control applications;2009;IEEE International Conference on Industrial Informatics (INDIN);39;Ccess Networks, Athens, Greece;Smart home automation technologies have been commercially available already, however the interoperability problems of different hardware and software components, the limited service scalability and the complexity of configuration and use prevent their mass adoption. In this paper we present a Connected Home Platform and Development Framework for easy design, development and deployment of smart home services offering a wealth of new exciting smart home experience on top of existing broadband service bundles. The Home Controller is used to integrate connectivity with home devices of various home control technologies. The Service Platform embeds the use of OSGi technology in the Home Controller that enables the OSGiliterate engineer to quickly develop and deploy home services utilising the widely adopted automation technologies. The different home network subsystems are interfaced in a common way through the Network Adaptation Layer, a set of OSGi components known as ROCob. Following the ROCob API Specification, a developer may build various applications, such as presentation layer applications (e.g. a web based UI), monitoring applications that collect data and send them to a backbone server, and other home control and pervasive applications. © 2009 IEEE.;;Conference Paper;
Courtney K.L., Demiris G., Hensel B.K.;Obtrusiveness of information-based assistive technologies as perceived by older adults in residential care facilities: A secondary analysis;2007;Medical Informatics and the Internet in Medicine;37;"University of Pittsburgh, School of Nursing, Pittsburgh, PA, United States; University of Washington, School of Nursing, Biobehavioral Nursing and Health Systems, Seattle, WA, United States; University of Missouri - Columbia, Department of Health Management and Informatics, Columbia, MO, United States";With the anticipated growth in the older adult population in the next few years, information designers are examining new ways for assistive technologies to support independent living and quality of life for adults as they age. Central to the role of assistive technology to support and enhance quality of life is the development of non-obtrusive technologies. Despite the importance of non-obtrusiveness to the design of assistive technologies, there remains no standard definition of obtrusiveness or measurement instrument. A conceptual framework for obtrusiveness in home telehealth technologies has recently been proposed but has not yet been tested empirically. This project performed a secondary analysis of focus group and interview data to explore the presence of the dimensions of the obtrusiveness framework in older adults' responses to information-based assistive technologies in residential care facilities. We found the existing data contained examples of each dimension (physical, usability, privacy, function, human interaction, self-concept, routine, and sustainability) and 16 of the 22 subcategories proposed by the obtrusiveness framework. These results provide general support for the framework, although further prospective validation research is needed. Potential enhancements to the framework are proposed.;"Assistive technology; Informatics; Obtrusiveness; Smart home technology; Telemedicine";Article;
Klobas J.E., McGill T., Wang X.;How perceived security risk affects intention to use smart home devices: A reasoned action explanation;2019;Computers and Security;31;Discipline of Information Technology, Mathematics and Statistics, Murdoch University, South Street, Murdoch, WA, 6150, Australia;Smart home devices form a significant part of the consumer IoT market yet they have potential security risks. Little is known about how security risk perceptions influence householders’ decisions to adopt smart home devices. In order to examine how perceptions of security risks influence intentions to use smart home devices, we test a new model of how perceived security risk affects intention to use smart devices. This model draws on the reasoned action approach from social psychology and proposes that security risk perceptions have an indirect effect on smart home adoption decisions by influencing cognitions that have a more immediate, effect on adoption intentions. The results demonstrated that perceived security risk does have an effect on intentions to use smart home devices and both attitude to use of smart home devices and perceived control over secure use of these devices play a role in this effect, confirming the value of modelling perceived risks as determinants of more direct cognitive antecedents of consumer intentions. We also investigated the role of age and education in smart home adoption decisions and found that older and more highly educated people are more likely to take their own assessments of security risk into account when they make decisions about adoption of smart home devices. Given the role of perceived security risk in influencing consumers’ intentions to use smart home devices, enabling, influencing, and guiding consumers to develop the knowledge and skills they need for secure use of smart home devices is of particular importance. The findings of this study suggest several paths of action for information security professionals to achieve this. © 2019 Elsevier Ltd;"Adoption intention; Demographic differences; Information security; Internet of Things; Smart home devices";Article;
Jaschinski C., Ben Allouch S.;Listening to the ones who care: exploring the perceptions of informal caregivers towards ambient assisted living applications;2019;Journal of Ambient Intelligence and Humanized Computing;31;"Research Group Technology, Health and Care, Saxion University of Applied Sciences, M.H. Tromplaan 28, Enschede, 7500 KB, Netherlands; University of Twente, Enschede, Netherlands";"Ambient assisted living (AAL) technologies have received increased attention from government, industry and research. Informal caregivers will be directly affected by the use of these technologies and are likely to be key influencers in the adoption decision of older adults. However, so far the informal caregivers’ perceptions, concerns and needs have been mostly overlooked in AAL research. To address these shortcomings, two studies were conducted. Study I consisted of 20 in-depth interviews with informal caregivers to investigate their perception of various AAL applications. In Study II these findings were validated with regard to our own prototype application called SONOPA. The second study included couples of informal caregivers and care receivers to compare both user groups. Although informal caregivers had a more positive attitude than care receivers and appreciated the opportunities of AAL technologies (e.g., increased safety, peace of mind); they also had several concern such as invading the care receiver’s privacy, the lack of human touch, and the care receiver’s technology experience. To address these concerns, informal caregivers should be more involved when developing AAL applications. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.";"Ambient assisted living; Caregiver; Smart homes; Technology acceptance; User-centered design";Article;
Sanguinetti A., Karlin B., Ford R.;Understanding the path to smart home adoption: Segmenting and describing consumers across the innovation-decision process;2018;Energy Research and Social Science;31;"University of California, Davis, United States; SEE Change Institute, United States; University of Oxford, United Kingdom";The burgeoning smart home market brings opportunities for home energy management systems (HEMS). Despite hundreds of smart HEM products on the market and many invested stakeholders, consumer adoption is lagging behind expectations. Past research in this space has focused on smart home technology (SHT) in general, rather than particular products with HEM potential. Conflating smart HEMS with all SHT is problematic because there is a wide range of smart home products and functions, toward which consumers may have varying attitudes. Past work has also rarely distinguished between various stages of the adoption process that lead up to smart HEMS purchase (Knowledge, Persuasion, and Decision Stages). This research used a Diffusion of Innovations framework and survey data from 709 California utility customers to assess the current market and barriers to HEM smart hardware adoption. Cluster analysis based on consumer awareness, interest, and ownership of HEMS revealed four consumer segments at different positions along the path to adoption: Unfamiliar, Unpersuaded, Persuaded, and Owners. Each group had a unique demographic and psychographic profile with implications for different sets of relevant barriers to adoption. © 2018 Elsevier Ltd;"Consumer adoption; Home energy management; Innovation-decision; Smart home technology";Article;All Open Access, Green
Kaushik P., Intille S.S., Larson K.;User-adaptive reminders for home-based medical tasks: A case study;2008;Methods of Information in Medicine;31;"Motorola Pervasive Platforms Lab., Schaumburg, IL, United States; Massachusetts Institute of Technology, House-n, Cambridge, MA, United States; Motorola Labs., 1295 E Algonquin Rd., Schaumburg, IL 60196, United States";Objectives: We present a prototype adaptive reminder system for home-based medical tasks. The system consists of a mobile device for reminder presentation and ambient sensors to determine opportune moments for reminder delivery. Our objective was to study interaction with the prototype under naturalistic living conditions ond gain insight into factors affecting the long-term acceptability of context-sensitive reminder systems for the home setting. Methods: A volunteer participant used the prototype in a residential research facility while adhering to a regimen of simulated medical tasks for ten days. Some reminders were scheduled at fixed times during the day and some were automatically time-shifted based on sensor data. We made a complete video and sensor record of the stay. Finally, the participant commented about his experiences with the system in a debriefing interview. Results: Based on this cose study, including direct observation of individual alert-action sequences, we make four recommendations for designers of context-sensitive adaptive reminder systems. Captured metrics suggest that adoptive reminders led to faster reaction times and were perceived by the participant as being more useful. Conclusions: The evaluation of context-sensitive systems that overlap into domestic lives is challenging. We believe that the ideal experiment is to deploy such systems in real homes and assess performance longitudinally. This case study in an instrumented live-in facility is a step toward that long-term goal. © 2008 Schattauer GmbH.;"Adoptive assistance; In-home acceptability evaluation; Medication adherence; Mobile computing; Smart homes";Article;
Arning K., Ziefle M.;“Get that camera out of my house!” conjoint measurement of preferences for video-based healthcare monitoring systems in private and public places;2015;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);28;Human Computer Interaction Center (HCIC), RWTH Aachen University, Campus Boulevard 57, Aachen, 52074, Germany;Facing the healthcare challenges of an aging society, the expansion of AAL system implementation in private and public environments is a promising way to improve healthcare in future smart homes and cities. The present study evaluated preferences for different video-based medical monitoring scenarios, which comprised the attributes medical safety (improved detection of medical emergencies), privacy (handling of video information), type and location of camera in a conjoint analysis. Medical safety was identified as key driver for preferences. Acceptance for video-based medical monitoring systems in public places was comparably high, given that privacy was protected. In contrast, acceptance for video-based monitoring in smart home environments was rather low due to privacy concerns. Based on the findings, recommendation for AAL system design and implementation were derived. © Springer International Publishing Switzerland 2015.;"Acceptance; Conjoint analysis; Medical monitoring; Medical safety; Privacy; Smart cities; Smart homes; Video cameras";Conference Paper;
Sponselee A.-M., Schouten B., Bouwhuis D., Willems C.;Smart home technology for the elderly: Perceptions of multidisciplinary stakeholders;2008;Communications in Computer and Information Science;28;"Fontys University of Applied Sciences, Hulsterweg 2-6, P.O.Box 141, Venlo, 5900 AC, Netherlands; Eindhoven University of Technology, Den Dolech 2, Eindhoven, 5612 AZ, Netherlands; iRv/Vilans, Zandbergsweg 111, Hoensbroek, 6432 CC, Netherlands";The “implementation” and use of smart home technology to lengthen independent living of non-instutionalized elderly have not always been flawless. The purpose of this study is to show that problems with smart home technology can be partially ascribed to differences in perception of the stakeholders involved. The perceptual worlds of caregivers, care receivers, and designers vary due to differences in background and experiences. To decrease the perceptual differences between the stakeholders, we propose an analysis of the expected and experienced effects of smart home technology for each group. For designers the effects will involve effective goals, caregivers are mainly interested in effects on workload and quality of care, while care receivers are influenced by usability effects. Making each stakeholder aware of the experienced and expected effects of the other stakeholders may broaden their perspectives and may lead to more successful implementations of smart home technology, and technology in general. © Springer-Verlag Berlin Heidelberg 2008.;"Perception; Smart home technology; Technology acceptance";Conference Paper;
Peek S.T.M., Aarts S., Wouters E.J.M.;Can smart home technology deliver on the promise of independent living? A critical reflection based on the perspectives of older adults;2016;Handbook of Smart Homes, Health Care and Well-Being;27;"Institute of Allied Health Professions, Chair of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, Netherlands; Department of Tranzo, School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands; Institute of Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, Netherlands";Expectations are high with regards to smart home technology. In particular, smart home technology is expected to support or enable independent living by older adults. This raises the question: can smart home technology contribute to independent living, according to older adults themselves? This chapter aims to answer this question by reviewing and discussing older adults’ perspectives on independence and their views on smart home technology. Firstly, older adults’ opinions on independence and aging in place are discussed. Secondly, this chapter will review to what extent smart home technology can support older adults’ independence. Thirdly, it will be explained how community-dwelling older adults’ concept of independence entails three distinct types or modes, and how these modes are related to their perceptions and acceptance of technology. In the last section of this chapter, an overview of key points is presented, and recommendations for technology designers, policy makers, and care providers are postulated. © Springer International Publishing Switzerland 2017.;"Aging in place; Design; Implementation; Independence; Smart home technology; Technology acceptance";Book Chapter;
Peek S.T.M., Luijkx K.G., Vrijhoef H.J.M., Nieboer M.E., Aarts S., Van Der Voort C.S., Rijnaard M.D., Wouters E.J.M.;Understanding changes and stability in the long-term use of technologies by seniors who are aging in place: A dynamical framework;2019;BMC Geriatrics;25;"School of Social and Behavioral Sciences, Department of Tranzo, Tilburg University, Tilburg, Netherlands; Institute of Allied Health Professions, Department of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, Netherlands; Panaxea B.v, Amsterdam, Netherlands; Department of Patient and Care, Maastricht University Medical Center, Maastricht, Netherlands; Department of Family Medicine and Chronic Care, Vrije Universiteit Brussel, Brussels, Belgium";Background: If technologies are to support aging in place, then it is important to develop fundamental knowledge on what causes stability and changes in the use of technologies by seniors. However, longitudinal studies on the long-term use of technologies that have been accepted into the home (i.e., post-implementation use) are very scarce. Many factors potentially could influence post-implementation use, including life events, age-related decline, changes in personal goal orientation, and various types of social influences. The aforementioned factors are likely to be interrelated, adding to the complexity. The goal of this study is to better understand changes and stability in the use of technologies by independent-living seniors, by using a dynamical systems theory approach. Methods: A longitudinal qualitative field study was conducted involving home visits to 33 community-dwelling seniors in the Netherlands, on three occasions (2012-2014). Interviews were held on technology usage patterns, including reasons for stable, increased, declined and stopped use. Technologies were included if they required electric power in order to function, were intended to be used in or around the home, and could support activities of daily living, personal health or safety, mobility, communication, and physical activity. Thematic analysis was employed, using constant case comparison to better understand dynamics and interplay between factors. In total, 148 technology use patterns by 33 participants were analyzed. Results: A core of six interrelated factors was closely linked to the frequency of technology use: emotional attachment, need compatibility, cues to use, proficiency to use, input of resources, and support. Additionally, disruptive forces (e.g., social influences, competition with alternative means, changes of personal needs) could induce change by affecting these six factors. Furthermore, long-term technology use was in some cases more resilient to disruption than in other cases. Findings were accumulated in a new framework: Dynamics In Technology Use by Seniors (DITUS). Conclusions: Similar to aging, the use of technologies by older people is complex, dynamic and personal. Periods of stability and change both occur naturally. The DITUS framework can aid in understanding stability and instability of technology use, and in developing and implementing sustainable technological solutions for aging in place. © 2019 The Author(s).;"Aging in place; Consumer appliances; Dynamical systems theory; E-health; Gerontechnology; ICT; Longitudinal qualitative research; Smart home; Technology acceptance; Technology adoption";Article;All Open Access, Gold, Green
Umair M., Cheema M.A., Cheema O., Li H., Lu H.;Impact of COVID-19 on iot adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT;2021;Sensors;24;"Department of Electrical, Electronics and Telecommunication Engineering, University of Engineering and Technology, New Campus, Lahore, Punjab, 54890, Pakistan; Faculty of Information Technology, Monash University, Wellington Rd, Clayton, VIC  3800, Australia; IoT Wi-Fi Business Unit, Dialog Semiconductor, Green Park, Reading, RG2 6GP, United Kingdom; Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7K, Aalborg Øst, 9220, Denmark; Department of People and Technology, Roskilde University, Universitetsvej 1, Roskilde, 4000, Denmark";COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic’s potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.;"COVID-19; Healthcare; Industrial IoT; Internet of things; Smart buildings; Smart cities; Smart homes; Transportation";Review;All Open Access, Gold, Green
Marikyan D., Papagiannidis S., Alamanos E.;Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users;2020;Information Systems Frontiers;24;Newcastle University Business School, 5 Barrack Road, Newcastle upon Tyne, NE1 4SE, United Kingdom;This study aims to address a research gap related to the outcomes of the use of technology when the performance falls short of initial expectations, and the coping mechanisms that users may deploy in such circumstances. By adopting Cognitive Dissonance Theory, the objectives of the study are a) to examine how dissonance, caused by the negative disconfirmation of expectations, may translate into a positive outcome and b) study how negative emotions, such as anger, guilt and regret, determine the selection of the mechanism to reduce dissonance. The theorised model was tested using a cross-sectional research design and a sample of 387 smart home users. The focus on smart home users fitted the objectives of the study due to the high expectations that users form and the challenges that the utilisation of technology sometimes causes. The collected data was analysed using structural equation modelling. Findings indicate that post-disconfirmation dissonance induces feelings of anger, guilt and regret, correlating with dissonance reduction mechanisms, which in turn have a distinctive effect on satisfaction and wellbeing. The findings of the study contribute to the discussion on expectation-disconfirmation and cognitive dissonance, by illustrating the interrelationship between emotional, cognitive and behavioural factors following the evaluation of technology performance and confirming that negative disconfirmation may result in satisfaction. © 2020, The Author(s).;"Cognitive dissonance; Coping mechanisms; Digitalisation; Smart homes; Wellbeing";Article;All Open Access, Hybrid Gold
Burrows A., Coyle D., Gooberman-Hill R.;Privacy, boundaries and smart homes for health: An ethnographic study;2018;Health and Place;24;"SPHERE-IRC, University of Bristol, United Kingdom; School of Computer Science, University College Dublin, Ireland; School of Clinical Sciences, University of Bristol, United Kingdom";This article explores how people negotiate borders and boundaries within the home, in the context of health and the introduction of new technologies. We draw on an ethnographic study involving a socially diverse group of people, which included people with experience of telecare or smart home energy systems. Participants engaged in various strategies to regulate the borders of their home, even though new technologies have begun to change the nature of these borders. Participants managed health conditions but also their use of technology through boundary work that permitted devices to be more or less visible and integrated within the home. Findings highlight that if smart healthcare technologies are to be accepted in the home then there is a need for mechanisms that allow people to control the interpretation of data and flow of information generated about them and their households. © 2018 The Authors;"Borders; Boundary work; Ethnography; Privacy; Smart home";Article;All Open Access, Hybrid Gold, Green
Pigini L., Bovi G., Panzarino C., Gower V., Ferratini M., Andreoni G., Sassi R., Rivolta M.W., Ferrarin M.;Pilot Test of a New Personal Health System Integrating Environmental and Wearable Sensors for Telemonitoring and Care of Elderly People at Home (SMARTA Project);2017;Gerontology;23;"IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, Milano, IT-20134, Italy; Politecnico di Milano, Milan, Italy; Dipartimento di Informatica, Università degli Studi di Milano, Crema, Italy";Background: The increase in life expectancy is accompanied by a growing number of elderly subjects affected by chronic comorbidities, a health issue which also implies important socioeconomic consequences. Shifting from hospital or community dwelling care towards a home personalized healthcare paradigm would promote active aging with a better quality of life, along with a reduction in healthcare-related costs. Objective: The aim of the SMARTA project was to develop and test an innovative personal health system integrating standard sensors as well as innovative wearable and environmental sensors to allow home telemonitoring of vital parameters and detection of anomalies in daily activities, thus supporting active aging through remote healthcare. Methods: A first phase of the project consisted in the definition of the health and environmental parameters to be monitored (electrocardiography and actigraphy, blood pressure and oxygen saturation, weight, ear temperature, glycemia, home interaction monitoring-water tap, refrigerator, and dishwasher), the feedbacks for the clinicians, and the reminders for the patients. It was followed by a technical feasibility analysis leading to an iterative process of prototype development, sensor integration, and testing. Once the prototype had reached an advanced stage of development, a group of 32 volunteers-including 15 healthy adult subjects, 13 elderly people with cardiac diseases, and 4 clinical operators-was recruited to test the system in a real home setting, in order to evaluate both technical reliability and user perception of the system in terms of effectiveness, usability, acceptance, and attractiveness. Results: The testing in a real home setting showed a good perception of the SMARTA system and its functionalities both by the patients and by the clinicians, who appreciated the user interface and the clinical governance system. The moderate system reliability of 65-70% evidenced some technical issues, mainly related to sensor integration, while the patient's user interface showed excellent reliability (100%). Conclusions: Both elderly people and clinical operators considered the SMARTA system a promising and attractive tool for improving patients' healthcare while reducing related costs and preserving quality of life. However, the moderate reliability of the system should prompt further technical developments in terms of sensor integration and usability of the clinical operator's user interface. © 2017 S. Karger AG, Basel.;"Active aging; Personal health systems; Reliability; Smart home; Telemonitoring; Usability; Wearable sensors";Article;
Kartakis S., Stephanidis C.;A design-and-play approach to accessible user interface development in Ambient Intelligence environments;2010;Computers in Industry;23;"Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, N. Plastira 100, Vassilika Vouton, GR-70013 Heraklion, Crete, Greece; Department of Computer Science, University of Crete, Greece";User interface development in Ambient Intelligence (AmI) environments is anticipated to be a particularly complex and programming intensive endeavor. Additionally, AmI environments should ensure accessibility and usability of interactive technologies by users with different characteristics and requirements in a mainstream fashion. Therefore, appropriate user interface development methods and tools are required, capable of both reducing development efforts and 'injecting' accessibility issues into AmI applications from the early design stages. This paper introduces two tools, named AmIDesigner and AmIPlayer, which have been specifically developed to address the above challenges through automatic generation of accessible Graphical User Interfaces in AmI environments. The combination of these two tools offers a simple and rapid design-and-play approach, and the running user interfaces produced integrate non-visual feedback and a scanning mechanism to support accessibility. AmIDesigner and AmIPlayer have been evaluated to assess their usability by designers, and have been put to practice in the redevelopment of a light control application in a smart environment as a case study demonstrating the viability of the design-and-play approach. The results confirm the usefulness and usability of the tools themselves. Overall, the proposed approach has the potential to contribute significantly to the development, up-take and user acceptance of AmI technologies in the home environment. © 2009 Elsevier B.V. All rights reserved.;"Accessibility; Ambient Intelligence (AmI); Smart home; User interface development; User interface generation";Article;
Bao H., Chong A.Y.-L., Ooi K.-B., Lin B.;Are Chinese consumers ready to adopt mobile smart home? An empirical analysis;2014;International Journal of Mobile Communications;22;"China Institute of Regulation Research, School of Business, Zhejiang University of Finance and Economics, Hangzhou 310018, China; Nottingham University Business School (NUBS) China, University of Nottingham, Ningbo 315100, China; Faculty of Business, Management and Accountancy, Linton University College, Bandar Universiti Teknologi Legend, Batu 12, 71700 Mantin, Negeri Sembilan, Malaysia; Business School, Louisiana State University in Shreveport, Shreveport, LA 71115, United States";This research aims to investigate the determinants of Chinese mobile smart home adoption. This research extends technology acceptance model (TAM) by including additional variables such as social influence, perceived secure home environment, perceived technology security risk, perceived cost and compatibility. Data was collected from 310 Chinese respondents. The mobile smart home adoption model was tested using structural equation modelling. Our results showed that perceived usefulness, social influence and compatibility influence Chinese consumers' decision to adopt mobile smart home. Social influence, perceived ease of use, and perceived secure home environment were found to have a direct and positive relationship with the perceived usefulness. This research showed that extending traditional TAM can provide better understanding for mobile smart home adoption. The results from this study will be useful for Chinese government as well as mobile smart home developers to formulate appropriate development and business strategies. Copyright © 2014 Inderscience Enterprises Ltd.;"China; Internet of things; Mobile smart home; Structural equation modelling; Technology adoption";Article;
Werner K., Oberzaucher J., Werner F.;Evaluation of human robot interaction factors of a socially assistive robot together with older people;2012;Proceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012;22;Department of Rehabilitation and Assisted Living Technologies, CEIT, Central European Institute of Technology, Schwechat, Austria;"This paper describes the evaluation of human-robot-interaction (HRI) related to the future use of a humanoid robotic system as interface in intelligent home environments. The core motivation was to enhance the user interaction between smart home systems and senior users by introducing a humanoid, mobile socially assistive robot as user interface. To what extend older users accept and use the autonomous robot as interface is the central research topic covered in this paper. To evaluate this question a user evaluation was performed together with 16 older people within the ""Living Lab Schwechat"" in Austrias [15] and a senior citizen home in Tel Aviv, Israel. Detailed results covering user acceptance, the users' attitude towards the robot, perception of the robot by the users and scores regarding the naturalness, animacy and intelligence of the tested system are presented and recommendations for improvements of the system are given. © 2012 Crown Copyright.";"HRI; Human robot interaction; Interface design; Older people; Socially assistive robot";Conference Paper;
Li W., Yigitcanlar T., Erol I., Liu A.;Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework;2021;Energy Research and Social Science;21;"School of Architecture and Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD  4000, Australia; Henley Business School, University of Reading, Whiteknights, Reading, RG6 6UD, United Kingdom";"Smart home technology provides a suite of independently and remotely controlled software and hardware that are connected into a network to deliver smart living. Smart homes have immense potential to shape the future living, and the market is maturing, but factors influencing households’ adoption of smart home technology services are still an understudied area. The study aims to identify the prominent smart home technology services and generate an understanding of the motivations, barriers, and risks of adoption from a consumer perspective. The paper reviews the literature and builds a conceptual framework of smart home adoption. The findings disclose: (a) Prominent technology services are associated with healthcare, energy efficiency and home security; (b) Primary motivations to adopt smart home technology services include efficient energy management, better home-based healthcare services, potential financial savings and benefits, and enhanced quality of life; (c) Main barriers to the smart home adoption include the distrust and resistance, limited perception of smart home, concerns of financial issues, privacy and security concerns, technology anxiety and negative social influences, and; (d) Main risks include privacy and security threats, energy rebounds and wasteful consumption, difficulty in the domestication of technology and destructiveness in domestic life. © 2021 Elsevier Ltd";"Domotics; Home automation; Internet-of-Things (IoT); Smart home; Smart living; Technology adoption";Review;All Open Access, Green
Canziani B., MacSween S.;Consumer acceptance of voice-activated smart home devices for product information seeking and online ordering;2021;Computers in Human Behavior;20;Department of Marketing, Entrepreneurship, Hospitality, and Tourism, The University of North Carolina Greensboro Bryan School of Business & Economics, P.O. Box 26170, Greensboro, NC  27402, United States;This paper explores how voice-activated smart home devices (SHDs) like Amazon Alexa and Google Home influence consumers' retail information seeking and ordering behaviors. The impacts of device utility and hedonic perceptions of voice are examined in an extension of the Technology Acceptance Model (TAM). The authors augment existing principles of technology acceptance theories by adding specific drivers of opinion-seeking behavior to better comprehend consumers’ perceptions of device utility for online retail activity. Both gender and generation were found to influence consumer intentions to use SHDs for online ordering of products. A rationale for future research on consumer interaction with SHDs is offered. © 2021 Elsevier Ltd;"Amazon Alexa; Hedonic; Opinion seeking; Recommendation agents; Voice-activated device";Article;
Ji W., Chan E.H.W.;Critical factors influencing the adoption of smart home energy technology in china: A guangdong province case study;2019;Energies;20;Department of Building and Real Estate, Research Institute for Sustainable Urban Development, Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong;Smart home energy technology has been verified to be successful for energy reduction in the residential sector. However, the current penetration rate of smart home energy technology is at a low level. Considering the factors of economy, policy, and demographics, Guangdong Province in China is a suitable region as an exemplary case to promote smart home energy technology through the urban residents. Therefore, using Guangdong as the targeting area, this research examined the factors influencing residents' intention to adopt smart home energy technology. A theoretical model based on the theory of planned behavior and Norm Activation Model theory was developed, with special consideration of the complex technical features. A questionnaire survey was performed in Guangdong Province and the data was analyzed by PLS-SEM. The analysis results indicated that residents' attitude towards technical performance, social norm, perceived behavioral control, and personal norm all have positive influence on the adoption intention, of which, attitude towards technical performance had the strongest effect. On the other hand, the attitude towards economic performance was found not to lead adoption intention. To explain this consequence, the discussion based on behavioral economics was proposed. © 2019 by the authors.;"Behavioral economics; Energy efficiency gap; Household energy saving; Norm activation model; Smart home energy technology; Structural equation modelling; Theory of planned behavior";Review;All Open Access, Gold, Green
Guhr N., Werth O., Blacha P.P.H., Breitner M.H.;Privacy concerns in the smart home context;2020;SN Applied Sciences;19;Information Systems and Management Institute (ISMI), Leibniz Universität Hannover, Königsworther Platz 1, Hannover, 30167, Germany;With the rapid development of the Internet of Things, intelligent systems are increasingly finding their way into everyday life and into people’s homes. With the spread of these technologies, there is a growing concern about what sensitive data is collected and what it is used for. Unfortunately, the role of privacy has remained largely unexplored in the smart home (SH) usage context. This study addresses this gap in literature: to what extend users’ concerns for information privacy influence the intended SH usage. This study takes an interactional psychology perspective and links the dimensions of the privacy concerns to the intention to use SH devices. Therefore, a multi-theoretical model using Smart PLS 3.2.8 was tested. This study contributes to the literature on privacy, and SH usage by exploring how and why privacy concerns influence participants’ intended SH usage. The findings, derived from the empirical study emphasize the importance of addressing privacy concerns because they are capable of directly and indirectly influencing the intended SH usage. Finally, the results which indicate new directions for privacy and SH research are discussed and implications for research and practice are given. © 2020, The Author(s).;"Privacy concerns; Smart home technologies; Structural equation modelling; Technology acceptance; Theory of planned behavior";Article;All Open Access, Hybrid Gold
Arthanat S., Wilcox J., Macuch M.;Profiles and Predictors of Smart Home Technology Adoption by Older Adults;2019;OTJR Occupation, Participation and Health;19;University of New Hampshire, Durham, United States;"The commercial popularity of smart home (SH) technology has broadened the scope of aging-in-place and home health occupational therapy. The objective of this article is to examine ownership of SH technology by older adults, their readiness to adopt SH technology, and identify the client factors relating to the adoption. A survey of older adults aged 60 and above living in the community was conducted. Respondents (N = 445) who were women; in the age group of 60 to 70 years; living in a two-level home, with a body function impairment; with a fall history; and experienced in information and communication technology (ICT) were significantly likely to be “brisk adopters” of SH (p <.05). Stepwise regression model identified marital status, home security, and overall ICT ownership as the predictors of SH ownership, whereas being female, concern over home security, and perceived independence contributed to SH readiness (p <.05). Consideration of the identified client profiles, health, and personal factors will strengthen SH integration for aging-in-place. © The Author(s) 2018.";"aging-in-place; gerontechnology; home automation; information and communication technology; smart home technology";Article;All Open Access, Green
Hosek J., Masek P., Andreev S., Galinina O., Ometov A., Kröpfl F., Wiedermann W., Koucheryavy Y.;A SyMPHOnY of Integrated IoT Businesses: Closing the Gap between Availability and Adoption;2017;IEEE Communications Magazine;19;"Faculty of Electrical Engineering and Communication, Brno University of Technology (BUT), Czech Republic; Peoples' Friendship University of Russia, RUDN University, Russian Federation; Laboratory of Electronics and Communications Engineering, Tampere University of Technology, Finland; Telekom Austria Group Headquarters, Vienna, Austria";Despite several decades of intense developments, the consumer IoT market still falls short of delivering its original economic promise. Its current condition - featuring fragmentation among the key players and their siloed business models - is comprehensively reviewed in this article. We specifically address the stagnant home automation sector, which suffers from a lack of interoperability between the existing IoT products. Aiming to unblock its sustainable growth, we systematically report on the development of a next-generation SyMPHOnY platform that becomes the key asset for telecom operators willing to understand the true needs of their customers. Supported by a recent user experience study, our SyMPHOnY platform pragmatically integrates a residential gateway module with a multitude of smart home solutions to provide valuable information and services based on consumers' household automation data. It thus offers significant promise to bridge the existing divide between IoT technology availability and its slow market adoption. © 2017 IEEE.;;Article;
Sintov N.D., Schultz P.W.;Adjustable green defaults can help make smart homes more sustainable;2017;Sustainability (Switzerland);19;"School of Environment and Natural Resources, Ohio State University, Columbus, OH  43210, United States; Department of Psychology, California State University San Marcos, San Marcos, CA  94132, United States";"Smart home technologies offer exciting opportunities to promote more efficient uses of energy. For instance, programmable thermostats, centralized lighting controls, and rooftop solar panels all have potential for energy conservation and efficiency. However, these technologies alone will not guarantee energy savings. Whereas previous research on smart homes has focused on the technologies themselves, relatively little work has addressed the factors that shape the human-technology interface. In this review paper, we argue that in order to ensure any savings, smart home technologies must first be adopted by end-users, and once adopted, they must be used in ways that promote energy efficiency. We focus on three areas of behavioral research with implications for smart home technologies: (1) defaults; (2) perceived adjustability or control; and (3) trust in automation. Linking these areas, we propose a new concept for improving the efficiency gains of smart homes. First, although smart device controls can help save energy, considerably larger energy efficiency gains can be realized through smart automation. But importantly, the default settings of systems should be ""green"", to maximize energy savings. Second, many people have concerns around relinquishing decision-making to technologies, which can reduce the likelihood of adoption. People want to be, or at least to feel, in control of their homes, even if they do not adjust settings post-installation. Further, consumer trust in technologies encourages adoption in the first place; trust also impacts consumer interactions with installed devices and can impact default acceptance. Combining these concepts, we recommend that smart home technologies build consumer trust and come pre-programmed with adjustable green defaults, which permit consumers to change initial green settings. © 2017 by the authors.";"Behavioral economics; Green defaults; Psychology; Smart homes; Technology adoption; Trust in automation";Article;All Open Access, Gold, Green
Mitchell L.L., Peterson C.M., Rud S.R., Jutkowitz E., Sarkinen A., Trost S., Porta C.M., Finlay J.M., Gaugler J.E.;“It’s Like a Cyber-Security Blanket”: The Utility of Remote Activity Monitoring in Family Dementia Care;2020;Journal of Applied Gerontology;18;"University of Minnesota–Twin Cities, Minneapolis, United States; The Alzheimer’s Association, Minnesota–North Dakota Chapter, Minneapolis, United States; Brown University, Providence, RI, United States";Technologies have emerged that aim to help older persons with Alzheimer’s disease and related dementias (ADRDs) remain at home while also supporting their caregiving family members. However, the usefulness of these innovations, particularly in home-based care contexts, remains underexplored. The current study evaluated the acceptability and utility of an in-home remote activity monitoring (RAM) system for 30 family caregivers of persons with ADRD via quantitative survey data collected over a 6-month period and qualitative survey and interview data collected for up to 18 months. A parallel convergent mixed methods design was employed. The integrated qualitative and quantitative data suggested that RAM technology offered ongoing monitoring and provided caregivers with a sense of security. Considerable customization was needed so that RAM was most appropriate for persons with ADRD. The findings have important clinical implications when considering how RAM can supplement, or potentially substitute for, ADRD family care. © The Author(s) 2018.;"Alzheimer’s disease; caregiving; dementia; remote activity monitoring; smart home; technology";Article;All Open Access, Green
Fritz R.L., Corbett C.L., Vandermause R., Cook D.;The influence of culture on older adults’ adoption of smart home monitoring;2016;Gerontechnology;18;"Washington State University, Vancouver, WA, United States; Washington State University, Spokane, WA, United States; Washington State University, Pullman, WA, United States";"R.L. Fritz, C.L. Corbett, R. Vandermause, D. Cook. The influence of culture on older adults’ adoption of smart home monitoring. Gerontechnology 2016;14(3):146-156; doi:10.4017/ gt.2016.14.3.010.00 Background Older adults’ acceptability of smart homes that learn their motion patterns and can take an action on their behalf has received little attention. This interdisciplinary study explored the influence of culture on older adults’ adoption of smart home monitoring. Method In-depth email interviews were used with a purposive sample of US older adults (n=21) age 65 and older. Participants were asked to prospectively consider the question of adoption of a smart home that combines artificial intelligence software with sensor monitoring for the purpose of maintaining safety and health of the community-dwelling older adult. Content analysis, consistent with the qualitative descriptive methodology, was used to organize data into low-inference themes. Themes were iteratively evaluated and consensus among the research team was achieved. Results and discussion Themes that emerged from rich text and were supported with participants’ own words were privacy, pride and dignity, family, trust, being watched, human touch, features and functionality, cost, and timing. Participants were asked to self-identify their own culture of socially constructed values, which were found to heavily inform perceptions of privacy, independence, and family. Many participants indicated a prospective openness to smart home interventions, including monitoring. Openness depended on (i) the level and specificity of need and whether the smart home would meet that need, (ii) perceived loss of privacy compensated by a feeling of safety and a receipt of health-assistance, (iii) functionality, and (iv) cost. Findings from this study explicate and illuminate older adults’ perceptions and descriptions of smart home monitoring, the relation to their own socially constructed values, and the influence on a decision to adopt or not adopt smart home monitoring. Findings may be used to inform the design of future smart homes, marketing, clinical practice and education, health policy, interdisciplinary collaboration, and research. © 2016. Gerontechnology. All Rights Reserved";"Adoption; Culture; Monitoring; Older adults; Smart home";Article;
Wang X., McGill T.J., Klobas J.E.;I Want It Anyway: Consumer Perceptions of Smart Home Devices;2020;Journal of Computer Information Systems;16;Murdoch University, Perth, Australia;Smart home devices form a significant part of the Internet of Things market and can provide benefits such as convenience and energy efficiency. They also have potential privacy and security risks as they collect information constantly. In order to examine how benefit and risk factors influence individuals’ intentions to adopt smart home devices, we developed a net valence model that integrates both positive factors and risk factors. The model was tested using data collected using an online questionnaire. The results show that individuals tend to ignore the potential risks and focus more on potential benefits resulting from using smart home devices. Performance expectancy and compatibility were found to be positively related to perceived benefits. However, neither effort expectancy nor image were. Among the proposed dimensions of risk, only privacy risk, performance risk, and time risk significantly influenced perceived risk. Security risk and financial risk did not influence it. © 2018 International Association for Computer Information Systems.;"adoption intention; Internet of things; net valance model; smart home devices";Article;
Wong J.K.W., Leung J.K.L.;Modelling factors influencing the adoption of smart-home technologies;2016;Facilities;16;Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;Purpose: Smart-home technology (SHT) has been identified by the World Health Organization as a possible solution for assisting older people to maintain their independence and to live safely at home when performing the activities of daily living. This study aims to identify the factors, as well as their inter-relationships, influencing senior citizens to adopt elderly-friendly SHT that supports ageing-in-place in high-density Hong Kong living settings. Design/methodology/approach: An interpretive structural modelling approach has been used to analyse the factors to develop a better understanding of the relationships between factors influencing SHT adoption, and “Matrice d’Impacts Croisés-Multiplication Appliquée à un Classement” analysis has been used to classify the analysed factors. Findings: The results suggested that strong government support, efficient backup supporting service and the design of user interface devices have been found as the driving factors encouraging the adoption of SHT. Other factors, including the maintenance of devices, levels of usage and penetration of devices, individual needs and financial considerations, were considered as autonomous factors and are less important to the decision to adopt SHT. Originality/value: This study provides useful information to policymakers and building designers on the human perspective of SHT adoption, such as the needs and requirements of older people to be considered in SHT technical design and appropriate technological solutions. © 2016, © Emerald Group Publishing Limited.;"Ageing-in-place; Elderly; Interpretive structural modelling; Smart buildings; System design; Technology";Article;
Maeder A.J., Williams P.A.H.;Health smart homes: New challenges;2017;Studies in Health Technology and Informatics;15;"School of Health Sciences, Flinders University, GPO Box 2100, Adelaide, SA  5001, Australia; School of Computer Science, Engineering and Mathematics, Flinders University, GPO Box 2100, Adelaide, SA  5001, Australia";Health Smart Homes provide various forms of assisted living support, by monitoring the activities and health status of their occupants to generate flows of information and sometimes interventions involving the occupants and their careers. Technologies of varying complexity must be combined to produce the underlying Health Smart Home system, and processing of the resulting data may require methods of varying sophistication. These aspects have been well studied, but no widely-adopted approaches for practical implementation of systems or systematic processing of data have been developed. Also, the integration of Health Smart Home services with the overall health care system has not been regularized. This paper identifies and categorizes the emerging high-level challenges beyond those in the basic technical and algorithmic spaces. These challenges will influence future directions for Health Smart Homes and their wider adoption and integration with health systems. © 2017 International Medical Informatics Association (IMIA) and IOS Press.;"Assisted living facilities; Computing methodologies";Conference Paper;
Hildebrandt J., Brauner P., Ziefle M.;Smart textiles as intuitive and ubiquitous user interfaces for smart homes;2015;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);15;Human-Computer Interaction Center, RWTH Aachen University, Campus Boulevard 57, Aachen, 52074, Germany;Textile user interfaces for smart homes offer novel intuitive input gestures and may lower acceptance barrier for technophobic or elderly people. To understand the users’ requirements of smart textile input devices, an Adaptive Conjoint Analysis with the attributes wearability, functionality, haptic, location, and components was carried out with 100 participants. The attributes were rated with different importances. Users request non-wearable textile input devices with no noticeable electronics for the living room. Gender, but no age effects were identified, as women prefer health applications, whereas men prefer media control. In summary, the device needs to be individually tailored to the user’s requirements to achieve high acceptance. © Springer International Publishing Switzerland 2015.;"Conjoint; Design space; Smart home; Smart textiles; Technology acceptance; User centered design";Conference Paper;
Ghorayeb A., Comber R., Gooberman-Hill R.;Older adults' perspectives of smart home technology: Are we developing the technology that older people want?;2021;International Journal of Human Computer Studies;13;"Bristol Medical School, Faculty of Health Sciences, University of BristolBristol, United Kingdom; Dept. of Media Technology & Interaction Design, KTH Royal Institute of Technology, Sweden";New technology and smart homes have the potential to improve quality of life, safety, and care for older people. However, we do not yet know how older people's perceptions of these technologies may vary, in particular how views based on experience of actual use may differ from those related to anticipated use. We also do not know how older people living independently might view technology that may be of future rather than current value to them. This paper explores older people's views of smart home monitoring technology and compares these between people with direct experience and those without. Four focus groups were conducted with six older people recruited from the community with no smart home experience and seven drawn from a large-scale Interdisciplinary Research Collaboration that is developing a sensor platform for health and lifestyle at home. For the seven participants, the sensor platform was installed and operated in their homes for eight to twelve months before the current study. The study found that participants in each group had some similar and some different understandings of smart home technologies. Among participants who had already tried the smart home monitoring technology, acceptance increased over time and with use. They expressed fewer concerns than non smart homes participants regarding privacy, trust, usability, and more concerns about utility. Non smart home participants focused on the extent to which this technology might increase household's vulnerability and they considered the technology somewhat intrusive and noticeable. It appeared that the more positive views of participants who had direct experience of smart homes related to the degree of trust between them and the researchers who installed and maintained the smart home system. Both groups of participants shared views about the technical feasibility, affordability, impact on relationships, and about the engagement and competencies of those who would view the monitoring data. They suggested that the technology would be more acceptable if it was possible to customize functionality and features. These findings have implications for development of smart home technologies so that they are appropriate and acceptable to older people who are living independently. © 2020;"Home Healthcare; Older people; Smart homes; Technology Acceptance, Digital Health";Article;All Open Access, Green
Sequeiros H., Oliveira T., Thomas M.A.;The Impact of IoT Smart Home Services on Psychological Well-Being;2021;Information Systems Frontiers;12;"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisbon, 1070-312, Portugal; The University of Sydney Business School, Rm 4047, Abercrombie Bldg H70, Darlington, NSW  2006, Australia";Smart home services are a new generation of consumer services. Supported by the Internet of Things (IoT) technology, they deliver security, comfort, entertainment, assisted living, and efficient management of the home to improve the quality of life of consumers. As the availability of smart home services expands, there is still a lack of understanding of what motivates their continuing use and how the penetration of smart devices and services in the home environment affects individual well-being. We develop a research model combining hedonic and eudaimonic motivations with the unified theory of acceptance and use of technology 2 (UTAUT 2) to evaluate the impacts on well-being. The model is estimated using partial least squares based on a sample of 260 survey responses. The results show that hedonic motivation associated with the adoption of some smart home services moderates continuing use. Additionally, the results suggest a positive relationship between the use of IoT smart home services and well-being. Furthermore, hedonic and eudaimonic motives have a substantial effect on the use behavior of smart home services and ultimately on well-being. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.;"Eudaimonic motivation; Hedonic motivation; IoT; Smart home services; Well-being";Article;All Open Access, Green
Mamonov S., Koufaris M.;Fulfillment of higher-order psychological needs through technology: The case of smart thermostats;2020;International Journal of Information Management;12;"Montclair State University, Department of Information Management and Business Analytics, Feliciano School of Business, 1 University Ave., Montclair, NJ  07043, United States; Baruch College, Department of Computer Information Systems and Statistics, Zicklin School of Business, 1 Bernard Baruch Way, New York, NY  10010, United States";Smart home technologies (SHTs), such as smart thermostats, are a growing commercial opportunity. SHTs can offer a broad spectrum of potential functional, experiential and esthetic benefits, yet much of the prior research on the adoption of SHTs has been limited by a narrow TAM-based functional view. Relatively little is known about the salient user beliefs related to the experiential and esthetic benefits of SHTs that may affect SHT adoption. To address this gap in research, we conduct a mixed-methods study, wherein we inductively develop a set of factors that reflect salient user considerations associated with smart thermostats and we examine the effects of the elicited factors on the smart thermostat adoption intention. We find that performance expectancy, emphasized by TAM, has a relatively minor effect on the smart thermostat adoption intention and effort expectancy has no effect at all. We identify a novel factor, which we term techno-coolness, as the key predictor of the adoption intention in this context. Techno-coolness is a multidimensional construct that encompasses the perceptions that the technology can make a home look modern and futuristic, can make the user feel technologically advanced, and can be fun to use. Techno-coolness reveals that the technology capacity to fulfill higher-order psychological needs can dominate purely functional considerations in innovative technology adoption decisions. © 2020 Elsevier Ltd;"Compatibility; Smart home; Techno-coolness; Technology adoption";Article;
Etemad-Sajadi R., Gomes Dos Santos G.;Senior citizens’ acceptance of connected health technologies in their homes;2019;International Journal of Health Care Quality Assurance;12;EHL, HES-SO – University of Applied Sciences Western Switzerland, Lausanne, Switzerland;Purpose: The objective of this paper is to focus on seniors’ acceptance of the usage of connected healthcare technologies in their homes. The authors integrated into technology acceptance model (TAM) several latent variables such as social presence, trust and degree of intrusiveness perceived with the use of connected health technologies. Design/methodology/approach: The authors distributed the survey by post to 605 seniors. The authors targeted elderly people using connected health technologies (assistive alarm, telecare, sensors, etc.) at home and/or receiving healthcare at home. The authors received 213 questionnaires back. As The authors had several latent variables, the authors used partial least squares (PLS), a variance-based structural equation modeling method. Findings: The results show that the level of trust in these technologies impacts significantly the perception of usefulness and the degree of intrusiveness. In parallel, the degree of usefulness of these technologies impacts positively elderly people’s intention to accept their usage. Finally, one can claim that the perception of the social presence with the use of these technologies impacts positively the degree of perceived usefulness, trust and intrusiveness. Research limitations/implications: The sample covers a population benefiting from similar connected health technologies. It was difficult to distinguish and interpret the added value of each technology separately. As more and more elderly people use or are least familiarizing themselves with a range of connected technologies it would be interesting to identify which sets of connected technologies contribute the most to a positive feeling of social presence. Social implications: These results are particularly relevant to stakeholders in the health industry in their quest to improve their products/services. A better understanding of the relation that the elderly have with connected health technologies is an essential prerequisite to supporting the development of new solutions capable of meeting the specific needs of our seniors. Originality/value: The authors want to apply the TAM to connected health technologies designed for elderly people and the authors also want to extend it by integrating the social presence, trust and degree of intrusiveness variables to our research model. © 2019, Emerald Publishing Limited.;"Connected health technologies; Degree of intrusiveness; Smart homes; Social presence; TAM; Trust";Article;All Open Access, Green
Sanguinetti A., Karlin B., Ford R., Salmon K., Dombrovski K.;What’s energy management got to do with it? Exploring the role of energy management in the smart home adoption process;2018;Energy Efficiency;12;SEE Change Institute, 414 Rose Ave., Venice, CA  90291, United States;There are high hopes for smart home technology to deliver Home Energy Management (HEM) solutions, including through smart thermostats, plugs, lights, switches, and appliances. However, adoption of these technologies is lagging behind expectations. Moreover, it is unclear how energy management features in the smart home consumer adoption process. We know there is technical potential for the smart home to support energy management, but we know little about the degree to which energy benefits interest consumers and motivate them to adopt smart home technologies relative to non-energy benefits such as security, comfort, and convenience, which could have implications for increasing rather than decreasing energy consumption. To that point, we know little about whether and how the energy management functionalities of smart home products are actually used by adopters. The present research investigated consumers’ knowledge of, attitudes toward, and experiences with smart home technologies that have energy management functionalities (smart HEMS), in order to assess barriers to adoption and to achieving purported energy benefits. Specifically, we studied shoppers at smart home retailers to gauge their existing awareness of and attitudes toward smart HEMS, and we analyzed Amazon customer reviews of smart HEMS to better understand early adopters’ motivations and experiences. Results revealed challenges to achieving energy benefits with existing products and marketing strategies, and implications for shaping the future of these technologies to achieve energy demand reductions and load shifting capabilities at scale for the smart home and smart grid of the future. © 2018, Springer Science+Business Media B.V., part of Springer Nature.;"Connected home; Consumer adoption; Energy management technology; Home energy management; Smart home";Article;All Open Access, Green
Casaccia S., Pietroni F., Scalise L., Revel G.M., Monteriù A., Prist M.R., Frontoni E., Longhi S.;Health@Home: Pilot cases and preliminary results : Esidential sensor network to promote the active aging of real users;2018;MeMeA 2018 - 2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings;12;"Department of Industrial Engineering and Mathematical Sciences, Università Politecnica Delle Marche, Ancona, Italy; Department of Information Engineering, Università Politecnica Delle Marche, Ancona, Italy";This study is realized within the framework of the Health@Home Italian project. The focus of this paper is to provide a description of the experimentation in a pilot case in Veneto region (Italy). The integrated residential sensor network (composed by a mix of domotic equipment and biomedical devices), which will allow older people to improve their life-style in their houses, is discussed, together with the apartments selection (i.e. the specifications and requirements) and the users' recruitment. The authors will also introduce the analysis of the expected results, based on measurements of preliminary data and signals in living lab and the first feedback from the 13 recruited users. The results of the preliminary tests are used to improve the architecture, following the user-acceptance and the data collection. In this phase of the study, the possible services have been hypothesized, and this aspect will be investigated after the end of the experimentation phase (end of 2018) © 2018 IEEE.;"active aging; integrated sensor network; pilot cases; smart home";Conference Paper;
Abebe M., Myint P.P.A.;Board Characteristics and the Likelihood of Business Model Innovation Adoption: Evidence from the Smart Home Industry;2018;International Journal of Innovation Management;12;Department of Management, Vackar College of Business and Entrepreneurship, University of Texas Rio Grande Valley, 1201 W. University Drive, Edinburg, TX  78539-2999, United States;What role does the board of directors play in fostering organisational innovation? This study contributes to this conversation by exploring the relationship between board characteristics and business model innovation adoption. Drawing from resource dependence theory and using the smart home business model as our context, we examined the relationship among board size, CEO duality and proportion of outside directors on the likelihood of business model innovation adoption. Our analysis of 96 firms indicates that both board size and CEO duality significantly increase the likelihood of business model innovation adoption. Our findings highlight the important resource provision role boards play in promoting organisational innovation. © 2018 World Scientific Publishing Europe Ltd.;"board of directors; Business model innovation; CEO duality; corporate governance; innovation";Article;
Moreira N., Venda M., Silva C., Marcelino L., Pereira A.;@Sensor - Mobile application to monitor a WSN;2011;Proceedings of the 6th Iberian Conference on Information Systems and Technologies, CISTI 2011;12;"Computer Science and Communication Research Centre (CIIC), School of Technology and Management, Polytechnic Institute of Leiria, Leiria, Portugal; INOV INESC INOVAÇÃO, Leiria, Portugal";Due to the growth of potential of Wireless Sensor Networks (WSN), now becomes possible to use this technology in various new generation services such as monitor environment characteristics like temperature, humidity, among others. WSNs are emerging as a new paradigm, gathering information in a collaborative way, where independent sensor nodes collect and share information. In the last few years ubiquitous computing popularity has grown considerably, ambient intelligence and home automation systems are having a good public acceptance. In this context, we developed a mobile application to remotely monitor one WSN, installed at a customer's home. The application's main goal is to interact with a WSN, allowing a user to consult sensor states and receive sensor alerts. Sensor alerts will be received, in case a sensor's threshold value, exceeds the limit. Therefore the user will be notified whenever there are changes in the WSN. Apart the WSN, a base station is also needed for keeping the state of the WSN, store sensor's information and enable communication between the WSN and the developed mobile application via Web Services. This way and having a network connection, the user can check the state of any WSN component, anytime, anywhere. The Android platform was chosen to implement our application, since it is having a great acceptance and continued growth in the mobile market. © 2011 AISTI.;"Android; Mobile; Monitor; WSN";Conference Paper;
Corbett C.F., Combs E.M., Wright P.J., Owens O.L., Stringfellow I., Nguyen T., Van Son C.R.;Virtual home assistant use and perceptions of usefulness by older adults and support person dyads;2021;International Journal of Environmental Research and Public Health;11;"College of Nursing, University of South Carolina, Columbia, SC  29208, United States; College of Social Work, University of South Carolina, Columbia, SC  29208, United States; College of Nursing, Washington State University, Pullman, WA  98686, United States";Aim: Describe virtual home assistant use and usefulness from the perspective of older adults and their support persons. Methods: This was a mixed-methods study with older adults and their support persons (n = 10 dyads). Virtual home assistant (VHA) equipment was installed in participants’ homes, and its use was documented for 60 days. Participants received protocol-guided telephone calls to address their VHA questions or problems. The type and frequency of VHA use were summarized with descriptive statistics. End-of-study interviews about VHA use were conducted with dyad participants. Qualitative content analyses were used to describe the interview findings about the dyad’s perceptions of using the VHA, how it was used, any difficulties experienced, and suggestions for future VHA uses. Results: Participant dyads reported positive VHA perceptions, including the potential for VHAs to promote aging in place. Participants discussed the challenges learning the technology and replacing old habits with new ones. Participants offered recommendations for future VHA skills and for more education and training about using the VHA. Conclusions: The study findings suggest that VHAs may be useful for older adults as they age in place and offer reassurance for support persons. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.;"Aging in place; Assistive technology; Caregivers; Digital devices; Digital home assistants; Independent living; Intelligent virtual assistants; Low cost; Smart home device; Virtual assistant; Virtual home assistants";Article;All Open Access, Green
Tetteh N., Amponsah O.;Sustainable adoption of smart homes from the Sub-Saharan African perspective;2020;Sustainable Cities and Society;11;Department of Planning, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;In this paper, we analyse the concept of smart homes and discuss how these homes can be adopted sustainably in sub-Saharan Africa (SSA), considering the region's socio-economic characteristics. The paper dwelt largely on a review of literature on the subject, which was accessed from a wide range of databases using online search engines and by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The results indicate that smart homes enhance the comfort of the dwellers, ensure the diversification of energy sources and use, promote inclusiveness in the provision of housing and present an avenue for environmental cleanliness. Based on these benefits, and in an era of sustainable cities, the authorities of the cities in North America and Europe are encouraging the adoption of smart homes by urbanites. However, there is insufficient data to assess the level of adoption of smart housing in SSA although anecdotally the rate of adoption may be low. This is partly attributed to the region's low levels of literacy, income and technological penetration. The paper recommends the strengthening of local economies, creating awareness about the value of smart homes, creating smart home incentives and adapting the design of affordable housing schemes to assume the nature of smart homes as good strategies to foster a sustainable adoption of smart housing in the sub-region. © 2020 Elsevier Ltd;"Affordable smart housing; Smart homes; Smart technology adoption; Sub Saharan Africa; Sustainable development";Review;
Ziefle M., Valdez A.C.;Domestic robots for homecare: A technology acceptance perspective;2017;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);11;Human-Computer Interaction Center, RWTH Aachen University, Campus Boulevard 57, Aachen, 52074, Germany;In times of the demographic change and the increasing need of novel concepts to meet the requirements of older adults’ care in the near future, health care robots could be a potent solution to meet shortcomings in the health care sector. Even though the potential of robotic home care assistance is promising, the question if older persons would accept a robotic assistance at home is still underexplored. Adopting a three-step procedure, older adults’ perceptions towards home care robots are empirically explored. In a first step, focus groups were accomplished to understand older persons’ perceptions on benefits and barriers. Second, a survey study was applied to determine acceptance criteria, the perceived usefulness and the extent and types of concerns toward a domestic robot in homecare. Finally, in a further survey study, specific care situations in the home care settings had to be evaluated in a third study, thereby comparing preferences for a human care persons vs. a robotic care assistant. Outcomes reveal both, agesensitive as well as age-insensitive findings. While overall a positive attitude towards home care robots was found, serious concerns in terms of fear of loss of control and connection to family members are prevailing. Outcomes contribute to an understanding of social factors in the development and implementation of accepted home care solutions and might be helpful to develop age-sensitive information and communication concepts. © Springer International Publishing AG 2017.;"Demographic change; Domestic robots; Older adults; Smart home; Technology acceptance; User centered design";Conference Paper;
Pal D., Arpnikanondt C., Funilkul S., Razzaque M.A.;Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand;2021;Universal Access in the Information Society;10;"School of IT, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand; School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom";"The market for voice assistants (VAs) and other allied voice-based smart-home products is gradually emerging. The initial growth has been slower than expected; therefore, an in-depth simultaneous intention and diffusion analysis is needed for identifying the relevant factors along with finding out the target consumers. This work uses technology acceptance model as the core for analyzing the adoption intention of the VA-based system and extends it with three additional factors: compatibility, perceived complementarity and privacy concerns. The diffusion analysis for the same is done using the multivariate probit model. Certain characteristics of the VA-based systems like the network effects between the products/services and the importance of protecting personal information are considered in this work, apart from various demographic variables like age, gender, income and education levels. Two separate surveys were conducted for the purpose of data collection from 315 and 1945 participants residing in Thailand for analyzing the adoption and diffusion scenario, respectively. The results show that usefulness, ease of use, compatibility and perceived complementarity have significant positive effects on the purchase intention. In terms of diffusion of the VA market, unlike other Information Communication Technology-based products/services, the results show that the senior consumers are more likely to purchase the VAs and other allied smart-home devices within a given time frame when compared to the younger consumers. Therefore, new strategies should be developed that promote the usage of VAs by the young population for increasing the market demand. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.";"End-user adoption; Smart-homes; Technology acceptance model; Technology diffusion; Voice assistants";Article;
Sovacool B.K., Martiskainen M., Furszyfer Del Rio D.D.;Knowledge, energy sustainability, and vulnerability in the demographics of smart home technology diffusion;2021;Energy Policy;10;"Science Policy Research Unit (SPRU), School of Business, Management and Economics, University of Sussex, United Kingdom; Center for Energy Technologies, Department of Business Development and Technology, Aarhus University, Denmark";"In this empirical study, we explore the user acceptance of smart home technologies by asking: How do people perceive their opportunities and drawbacks? What factors shape their perceptions? What implications does this have for future energy savings, sustainability, and policy? Based on a mixed methods approach involving three focus groups (N = 18) and a nationally representative survey of adults (N = 1032) in the United Kingdom, we explore the demographics, preferences, and risks of smart home technology. We do this via the lenses of knowledge and adoption; energy and climate sustainability; and vulnerability and exclusion. We explore how different classes of people—adopters versus non-adopters, high-income versus low-income, women and men, old versus young—support or oppose smart home technologies, have different degrees of knowledge and misperceptions, and reveal very different perceptions about the practices enabled by smart homes. In doing so, we show at times compelling links between smart homes and energy consumption, and possible negative impacts to poverty, inclusion, and empowerment. © 2021 The Author(s)";"Digital society; Energy justice; Smart home technologies; Smart homes; Sustainability transitions";Article;All Open Access, Hybrid Gold, Green
Tsuchiya L.D., Braga L.F., de Faria Oliveira O., de Bettio R.W., Greghi J.G., Freire A.P.;Design and evaluation of a mobile smart home interactive system with elderly users in Brazil;2021;Personal and Ubiquitous Computing;10;Federal University of Lavras, Lavras, MG, Brazil;This article presents a study concerning the evaluation of a smart home control system for elderly people with a sample of 10 users in a city in the interior of Brazil. The control system consisted of a prototype using a Web-based mobile application, developed considering requirements obtained from a previous study and recommendations from the literature. The test participants were over 60 years old and had basic experience in the use of smartphones and computers. Success rates in the execution of activities, difficulty levels in carrying out activities, satisfaction, motivation, and control feelings were analyzed. We noted that the application had a satisfactory acceptance level by the participants, showing good results with the tests applied. As main implications for the design, the study showed the importance of clearly identifying the users’ whereabouts in the house in the application, not hiding information under scrolling, using images and videos appropriately in help systems to avoid confusion, limiting the number of windows open to keep context, avoiding unclear interactive elements to favor direct affordances, and proximity on the screen to group rooms and appliances visually. The results from the study can contribute to improving interaction with smart home systems for elderly people, especially in countryside parts of developing countries. © 2020, Springer-Verlag London Ltd., part of Springer Nature.;"Accessibility; Brazil; Elderly users; Latin America; Smart homes";Article;
Hale L.A.;At home with sustainability: From green default rules to sustainable consumption;2018;Sustainability (Switzerland);10;Department of Management, Society and Communication, Copenhagen Business School, Dalgas Have 15, Frederiksberg, 2000, Denmark;Although it is often assumed that default rules affect change without awareness, this paper suggests that contrast with the default and transition into conscious adoption of the default design may be the starting point to establish long-term changes in consumer behavior. Despite the rooting of default rules in subconscious decision-making, this research finds that, ultimately, awareness drives the demand necessary for the creation of sustainable consumption. Whereas direct appeal to individuals has a disappointing level of influence on sustainability choices, it is understood that green consumers do come from somewhere. Green default rules offer interesting prospects for sidestepping the drawbacks of direct marketing to individuals. Under green default rules, behavior is guided by a default, such as utilities automatically sending customers renewables-sourced instead of fossil-fuel-based energy. To act otherwise requires additional effort and is less likely. Motivated by a need to understand how defaults might bridge standards and sustainable consumption, I investigate how organizational processes potentially lead from standardized green default rules to individual awareness that can spread and facilitate sustainable consumption. This paper examines the Active House sustainable building demonstrations in Europe in order to understand how (1) communications and market creation and (2) responsible, user-centered experimentation are organized to move from defaults to sustainable consumption. © 2018 by the authors.;"Automation; Default bias; Green default rules; Smart home; Standardization; Sustainable building; Sustainable consumption";Article;All Open Access, Gold, Green
Pirzada P., Wilde A., Doherty G.H., Harris-Birtill D.;Ethics and acceptance of smart homes for older adults;2022;Informatics for Health and Social Care;9;"School of Computer Science, University of St Andrews, St Andrews, United Kingdom; Centre for Health Technologies, University of Southampton, Southampton, United Kingdom; Department of Digital Technologies, University of Winchester, Winchester, United Kingdom; School of Psychology and Neuroscience, University of St Andrews, St Andrews, United Kingdom";Societal challenges associated with caring for the physical and mental health of older adults worldwide have grown at an unprecedented pace, increasing demand for health-care services and technologies Despite the development of several assistive systems tailored to older adults, the rate of adoption of health technologies is low. This review discusses the ethical and acceptability challenges resulting in low adoption of health technologies specifically focused on smart homes for older adults. The findings have been structured in two categories: Ethical Considerations (Privacy, Social Support, and Autonomy) and Technology Aspects (User Context, Usability, and Training). The findings conclude that older adults community is more likely to adopt assistive systems when four key criteria are met. The technology should: be personalized toward their needs, protect their dignity and independence, provide user control, and not be isolating. Finally, we recommend researchers and developers working on assistive systems to: (1) provide interfaces via smart devices to control and configure the monitoring system with feedback for the user, (2) include various sensors/devices to architect a smart home solution in a way that is easy to integrate in daily life, and (3) define policies about data ownership. © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.;"ambient-assisted living; assistive technology; ethical aspects; Ethics; smart home";Review;All Open Access, Hybrid Gold, Green
Lee E.J., Park S.J.;A framework of smart-home service for elderly’s biophilic experience;2020;Sustainability (Switzerland);9;"Department of Architecture, Keimyung University, Daegu, 42601, South Korea; Department of Architectural Engineering, Keimyung University, Daegu, 42601, South Korea";Smart-home technology and related services can reinforce a person’s experiential nature, promoting sustainable living among the elderly. It is crucial in the housing industry that support “Aging in Place”, contributing to the contact, control, and simulation of nature at home as well as the creation of a high-quality living space instead of mechanical achievement. Further, biophilic experience, the strengthening of inherent human propensity to nature for optimal health and well-being, supports the elderly’s physical, mental, and sociological health. However, despite the continuing emphasis on the benefits of residential nature experiences for the elderly, the application of smart-home technology and services is insufficient. This study presents a theoretical basis for combining biophilia and smart-home technology, providing a framework for smart-home services to ensure elderly residents can have biophilic experiences. In this study, smart-home components and related studies that can support the biophilic experience and the corresponding technology are analyzed. The results suggest the type and content of smart-home service for ensuring a biophilic experience, while also indicating the configuration of supportive input and output devices according to the service framework. Moreover, we recommend the interaction characteristics of smart-home devices from the perspective of residents, space, efficient service provision, and physical application. This paper broadens our understanding of the sustainable, residential-environment nature experience and informs the expansion of the aged-friendly smart-home industry, contributing to smart-home services trends and development. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.;"Biophilia; Biophilic experience; Elderly; Service framework; Smart home; Smart-home service";Article;All Open Access, Gold
Ren H., Song Y., Yang S., Situ F.;Secure smart home: A voiceprint and internet based authentication system for remote accessing;2016;ICCSE 2016 - 11th International Conference on Computer Science and Education;9;School of Software, Beihang University, Beijing, China;Smart home is now becoming prevalent with the development of the Internet of things (IOT) techniques. It is aimed at providing the user with a user-friendly method to control the home appliances such as doors, lights, even in a condition of long-distance. This controlling is generally achieved by a mobile phone which can access to the Internet. However, this can easily be breached if no security measures are taken. In this paper, we present a voiceprint and Internet based mobile authentication system, which can make authentication of smart home faster, more convenient and more secure. In addition, we proposed a dynamic threshold method to calculate a user-specific score threshold of voiceprint verification. Result shows it reduce the false rejection rate when given the equal false acceptance rate. © 2016 IEEE.;"authentication; dynamic threshold; Internet of Things; remote accessing; smart home; voiceprint";Conference Paper;
Coughlin J.F., Lau J., D'Ambrosio L.A., Reimer B.;Adult children's perceptions of intelligent home systems in the care of elderly parents;2009;i-CREATe 2009 - International Convention on Rehabilitation Engineering and Assistive Technology;9;"Massachusetts Institute of Technology AgeLab, 77 Massachusetts Avenue, E40-278, Cambridge, MA 02139, United States; Singapore Ministry of Manpower, 18 Havelock Road, #07-01, Singapore 059764, Singapore";"Smart home technologies and services are widely researched and are being commercialized for use in the homes of older adults throughout the world. However, widespread adoption by older adults of even the most affordable and simple systems has been mixed. While older adults may be the ""users"" of such technologies, we seek to understand the perceptions held by key ""influencers"" in the purchase and use decisions - the adult child. We present an exploratory study based upon a convenience sample of adult children most likely to embrace intelligent home systems and services. Survey respondents are highly educated, technology savvy, middle to high-income adult children ages 35 and older. This group represents possible ""lead adopters"" who might advance the commercialization of these potentially useful technologies. Findings suggest that trust in the accuracy of the system, privacy concerns and willingness to intervene in a parent's home may present challenges to adoption even among tech-savvy adult children. © ACM 2009.";"Aging; Ambient intelligence; Assistive technology; Baby boomers; Caregiving; Home services; Innovation; Smart houses; Technology adoption";Conference Paper;
Pal D., Zhang X., Siyal S.;Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach;2021;Technology in Society;8;"School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Pin Code: 10140, Thailand; School of Information Science, Wayne State University, United States; School of Economics and Management, Beijing University of Chemical Technology, China";With the advent of various Internet of Things (IoT) technologies, smart-homes have become an important application area. However, the low end-user penetration of the smart-home market as of 2021 points out towards the fact that the users are resistant to use home IoT and smart-home solutions. Privacy concerns is an important factor that hinders the smart-home adoption as per existing literatures. Unfortunately, current smart-home literatures have not focused enough on the theoretical aspect of the privacy concern construct per se, what are its various antecedents, and what constitutes the users’ privacy concerns. Consequently, in this work a resistive modelling approach is used focusing on the privacy aspect that hinders the diffusion of IoT-based smart-homes in the society. Innovation Resistance Theory (IRT) and Multidimensional Development Theory (MDT) are used as the theoretical background. Multiple antecedents of privacy concern are considered ranging from individual (user skill), technological to environmental factors (legal & policy aspect). Moreover, privacy concern is treated from three aspects of informational privacy, physical privacy, and psychological privacy. The proposed model is validated and tested using data collected from 463 users residing in Thailand. The differences in privacy perception and its effect on user resistance depending on gender and residence type is also discussed. Results show that the user characteristics of user skill has the highest impact on privacy concern, followed by legal & policy aspect, and technological aspect respectively. Moreover, physical, and psychological privacy are more important than informational privacy concerns. Appropriate theoretical and practical suggestions are provided based on the results. © 2021 Elsevier Ltd;"Multidimensional development theory; Privacy concern; Smart-home; User resistance; User skill";Article;
Liu Y., Gan Y., Song Y., Liu J.;What influences the perceived trust of a voice-enabled smart home system: An empirical study;2021;Sensors;8;"School of Design, Kyushu University, Fukuoka, 8158540, Japan; School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China; School of Design, The Hong Kong Polytechnic University999077, Hong Kong; Department of Industrial Design, Faculty of Design and Architecture, Universiti Putra Malaysia, Selangor, 43400, Malaysia";Contemporarily, almost all the global IT giants have aimed at the smart home industry and made an active strategic business layout. As the early-stage and entry-level product of the voice-enabled smart home industry, the smart speakers have been going through rapid development and rising fierce market competition globally in recent years. China, one of the most populous and largest markets in the world, has tremendous business potential in the smart home industry. The market sales of smart speakers in China have gone through rapid growth in the past three years. However, the market penetration rate of related smart home devices and equipment still stays extremely low and far from mass adoption. Moreover, the market sales of smart speakers have also entered a significant slowdown and adjustment period since 2020. Chinese consumers have moved from early impulsive consumption to a rational consumption phase about this early-stage smart home product. Trust in the marketing field is considered an indispensable component of all business transactions, which plays a crucial role in adopting new technologies. This study explores the influencing factors of Chinese users’ perceived trust in the voice-enabled smart home systems, uses structural equation modeling (SEM) to analyze the interaction mechanism between different variables, and establishes a perceived trust model through 475 valid samples. The model includes six variables: system quality, familiarity, subjective norm, technology optimism, perceived enjoyment, and perceived trust. The result shows that system quality is the essential influence factor that impacts all other variables and could significantly affect the perceived trust. Perceived enjoyment is the most direct influence variable affected by system quality, subjective norm, and technology optimism, and it positively affects the perceived trust in the end. The subjective norm is one of the most distinguishing variables for Chinese users, since China has a collectivist consumption culture. People always expect their behavior to meet social expectations and standards to avoid criticism and acquire social integration. Therefore, policy guidance, authoritative opinions, and people with important reference roles will significantly affect consumers’ perceived trust and purchase intention. Familiarity and technology optimism are important influential factors that will have an indirect impact on the perceived trust. The related results of this study can help designers, practitioners, and researchers of the smart home industry produce products and services with higher perceived trust to improve consumers’ adoption and acceptance so that the market penetration rate of related products and enterprises could be increased, and the maturity and development of the voice-enabled smart home industry could be promoted. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.;"Empirical study; Internet of things; Perceived trust; Smart home; Smart speaker; Structural equation modeling";Article;All Open Access, Gold, Green
Arthanat S., Chang H., Wilcox J.;Determinants of information communication and smart home automation technology adoption for aging-in-place;2020;Journal of Enabling Technologies;8;"Department of Occupational Therapy, College of Health and Human Services, University of New Hampshire, New Hampshire, Durham, United States; Department of Biostatistics, Epidemiology, and Research Design (BERD) Center, Tufts Clinical and Translational Science Institute (CTSI), Boston, MA, United States";Purpose: Smart home (SH) internet of things can promote home safety, health monitoring and independence of older adults to age-in-place. Despite its commercial growth, low adoption rates of the technology among aging consumers remain a major barrier. The purpose of this study is to examine SH technology ownership of older adults and its causal pathways with demographics, health and functioning, home safety and information communication technology (ICT) use. Design/methodology/approach: A survey on technology-mediated aging-in-place was completed by 447 respondents, 65 years and older. Structural equation modeling was used to underscore the causal pathways among demographics, health, independence and home safety, ICT and home automation technology adoption. Findings: The study found that ICT usability, home security and independence have a significant direct effect on SH ownership. Demographics had no significant direct effect, but its influence was mediated through ICT usability. With home safety as mediator, physical impairment, falls and accidents and independence had a significant association with SH ownership. Similarly, increased social support (mediated through home security) decreased the probability of SH automation ownership. Originality/value: The findings signify the perceived usefulness of SH automation as theorized in technology acceptance models. © 2020, Emerald Publishing Limited.;"Aging-in-place; Assistive technology; Home automation; Information communication technology; Smart home; Structural equation modeling";Article;
Mashal I., Shuhaiber A., Daoud M.;Factors influencing the acceptance of smart homes in Jordan;2020;International Journal of Electronic Marketing and Retailing;8;"Computer Science Department, Aqaba University of Technology, Aqaba, Jordan; College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates; College of Engineering, Al Ain University of Science and Technology, Abu Dhabi, United Arab Emirates";Smart home services are one of the recent internet of things applications that aims to improve residents’ quality of life. This study aims to investigate the factors that influence residents’ acceptance and usage of smart home services in Jordan. Theoretically, this study extends the technology acceptance model. By following a quantitative method, responses were collected and statistically analysed from 258 household using the SEM-PLS approach. Results show that user awareness, trust, perceived enjoyment, personalisation, perceived usefulness and perceived ease of use significantly influence attitude towards smart home services which, with social influence, impact the intention to use. Copyright © 2020 Inderscience Enterprises Ltd.;"Internet of things; Jordan; Smart home services; Technology acceptance model; User acceptance";Article;
Liao C.-F., Chen P.-Y.;ROSA: Resource-Oriented service management schemes for web of things in a smart home;2017;Sensors (Switzerland);8;"Department of Computer Science, National Chengchi University, Taipei, 11605, Taiwan; Program in Digital Content and Technologies, National Chengchi University, Taipei, 11605, Taiwan; StarVedia Corporation Inc., Zhubei, 302, Taiwan";A Pervasive-computing-enriched smart home environment, which contains many embedded and tiny intelligent devices and sensors coordinated by service management mechanisms, is capable of anticipating intentions of occupants and providing appropriate services accordingly. Although there are a wealth of research achievements in recent years, the degree of market acceptance is still low. The main reason is that most of the devices and services in such environments depend on particular platform or technology, making it hard to develop an application by composing the devices or services. Meanwhile, the concept ofWeb of Things (WoT) is becoming popular recently. Based on WoT, the developers can build applications based on popular web tools or technologies. Consequently, the objective of this paper is to propose a set of novel WoT-driven plug-and-play service management schemes for a smart home called Resource-Oriented Service Administration (ROSA).We have implemented an application prototype, and experiments are performed to show the effectiveness of the proposed approach. The results of this research can be a foundation for realizing the vision of “end user programmable smart environments”. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.;"IoT; REST; Smart home; Universal Plug and Play (UPnP); Web of Things; Web Services";Article;All Open Access, Gold, Green
Kuebel H., Hanner N., Zarnekow R.;An expert view on the role of complementary assets for the adoption of smart home platforms;2015;Pacific Asia Conference on Information Systems, PACIS 2015 - Proceedings;8;Department of Information and Communication Management, Technical University Berlin, Germany;Smart home (SH) products and services aim to enhance the comfort, convenience, security, entertainment, health, education and communication of tenants and their guests enabled by information technology platforms. Despite ongoing waves of enthusiasm, the SH market has remained a niche for more than three decades. At the same time, recent forecast expect the market to grow at high rates in the upcoming years as various global players, like Google, Apple, AT&T, Cisco and Samsung, are lining up with own SH platform initiatives. Accounting for the multi-sidedness of the market, we employ a platform ecosystem perspective to investigate the role of complementary assets for SH adoption by consumers and firms. Based on interviews with 25 experts from 22 companies, our qualitative content analysis reveals and prioritizes complementary goods, sales channels, brand image, expertise, support infrastructure, operational footprint and financial resources as critical complementary assets. Further, we provide managerial implications for platform sponsors regarding the affiliation with complementary suppliers, the legitimacy of sponsorship, platform openness as well as on platform envelopment.;"Complementary assets; Expert interviews; Platform ecosystems; Smart home platforms; Technology adoption";Conference Paper;
Belitz H.-J., Winter S., Rehtanz C.;Load shifting of the households in the E-Energy project E-DeMa;2013;2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013;8;Ie3 Institute of Energy Systems, Energy Efficiency and Energy Economics, Dortmund, Germany;The increasing power feed-in from renewable energy resources and the accompanied decentralization of the power generation in Germany stresses the importance of the end customers' electricity consumption. E-Energy combines six different model regions that are declared to analyze the end customers' electricity consumption. E-DeMa (development and demonstration of locally networked energy systems to the E-Energy marketplace of the future) is one of the model regions and located in the Western part of Germany. In E-DeMa, the customers are provided with innovative time-of-use products and consumption-dependent-products as well as with an innovative product which gives the customer the possibility to market the power and energy of his controllable household appliances. The field test is set from March 2012 to November 2012. During this period, the electricity consumption of each participating household and its demand side management activities is measured each quarter of an hour. This paper describes the analysis of the load shifting of the E-DeMa households as well as the customer's acceptance of the advanced home automation system. © 2013 IEEE.;"Aggregator; Customer Acceptance; Demand Side Management; Home Automation System; Inhouse Communication; Load Shifting";Conference Paper;
Giger J.T., Markward M.;The need to know caregiver perspectives toward using smart home technology;2011;Journal of Social Work in Disability and Rehabilitation;8;"Department of Social Work, University of South Dakota, 414 East Clark Street, Vermillion, SD 57069, United States; School of Social Work, University of Missouri, Columbia, MO, United States";This article reviews the literature on adults with serious mental illness, their caregivers, and smart home technology. The article provides compelling evidence for social workers to undertake research aimed at investigating caregivers' perceptions toward using smart home technology for care of adult family members or friends with a serious mental illness. Empirical support for using smart home technologies with adults with serious mental illness is provided, and recommendations for future social work research are offered. © Taylor & Francis Group, LLC.;"In-home health monitoring system; Informal caregivers; Perspectives and attitudes; Serious mental illness; Smart home technology; Technology acceptance";Review;
Ashraf A., Liu J.H., Rauf Q.;Aging population perception and post adoption behavior about the usability of smart home technology of pakistani culture;2020;ACM International Conference Proceeding Series;7;North China University of Water, Resources and Electric Power, Zhengzhou, Henan, China;New technology provides opportunities for the transport of vast, bendy interventions with older adults. Twenty first century is penetrating era in our lives like smart home technology Smart home era is innovation to help the old age population in this era. As smart home consists of numerous interactive generations as an answer for aged people Last few years, the adoption of smart home technology has critical subject among research industries. According to previous studies, smart home technology (SHT) have effective outcomes on the old age people. There is no restrict of gender, religion and locality for SHT. The findings of the well-installed studies indicate that there's need to test the belief of old age people approximately the usability of SHT in Pakistan's lifestyle. Many of the preceding studies already conducted but their results had been challenged so there's need to conduct new examine with large pattern and populace. © 2020 ACM International Conference Proceeding Series. All rights reserved.;"Aged Perception; Internet of things; IoT; SHT; Smart Home technology; Smart technology; Smart technology and aged population";Conference Paper;
Shih T.-Y.;Determinates of Consumer Adoption Attitudes: An Empirical Study of Smart Home Services;2013;International Journal of E-Adoption;7;Department of International Business, National Taipei College of Business, Taipei, Taiwan;Smart home services (SHS) have been developed by related firms and have had a strong impact on consumers' lives. This research integrates involvement antecedents, innovation diffusion factors and a technology acceptance model to develop a conceptual framework for discussing consumer attitudes and adoption behaviors toward smart home service applications. A sample of 580 respondents from different smart home buildings in Taiwan was asked to complete a survey. This paper proposes and validates a structured methodology for assessing and improving smart home service development. The research results verify that involvement antecedents (interest), innovation diffusion factors (observability, compatibility, relative advantage), and technology acceptance model (perceived usefulness) positively affect consumer attitudes toward the adoption of smart home services and that positive adoption attitudes lead to higher levels of adoption behavior. Perceived ease of use has no influence on consumer adoption attitudes toward smart home services unless through the mediating effects of perceived usefulness. Demographic variables, including gender, age and personal income, play important segmentation roles in the promotion strategies for smart home services. © 2013, IGI Global. All rights reserved.;"Information Technologies (IT); Innovation Diffusion Theory; Involvement; Smart Home; Technology Acceptance Mode (TAM)";Article;
Leitner G., Fercher A.J., Felfernig A., Hitz M.;Reducing the entry threshold of AAL systems: Preliminary results from Casa Vecchia;2012;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);7;"Institute of Informatics-Systems, Alpen-Adria Universität Klagenfurt, Universitätsstrasse 65-67, 9020 Klagenfurt, Austria; Institute for Software Technology, Graz University of Technology, Inffeldgasse 16B, 8020 Graz, Austria";Ambient assisted living holds promising solutions to tackle the problems of an overaging society by providing various smart home as well as computing and internet technologies that support independent living of elderly people. However, the acceptance of these technologies by the group of elderly constitutes a crucial precondition for the success of AAL. The paper presents early results from the project Casa Vecchia which explores the feasibility of AAL within a longitudinal field study with 20 participating households. Thereby observed barriers hindering the acceptance of technologies applied in the project are discussed as well as possible solutions to reduce the entry threshold to assistive technology. © 2012 Springer-Verlag.;"Ambient Assisted Living; Ethnographic Fieldstudy; Technology Acceptance";Conference Paper;
Abdullah M.I., Roobashini D., Alkawaz M.H.;Active monitoring of energy utilization in smart home appliances;2021;ISCAIE 2021 - IEEE 11th Symposium on Computer Applications and Industrial Electronics;6;Faculty of Information Sciences Engineering, Management and Science University, Shah Alam, Selangor, Malaysia;In our contemporary world, people are rapidly turning to high-tech as smart and intelligent way to enhance the standard of living. Smart devices capture and exchange data from the network's boundary, which later linked to the Internet to form the Internet of Things (IoT). Smart devices may be small-scale, but they are effective. The prospective of mobile apps seems to integrate them perfectly into all aspects of our applications, from innovations such as a connected car, health monitors, fitness trackers and smart watches. The promise of smart home technology is to offer benefits to modern households and their community. However, it has been scuffling to achieve mass market acceptance since its early growth. The Smart Home is an application of the IoT technologies that used by the households to ensure it easier for humans to use smartphone apps to track and manage all devices at home. Smart home allows users to manage of their energy usage through a variety of smart-home environmentally conscious strategies. This application interprets the energy used to show the users which of their appliances are consuming high energy power. After analyzing other current systems, we have proposed the interface for improved human interaction and more efficient use of energy usage data. © 2021 IEEE.;"Controlling; Internet of Things; Monitoring; Saving Electricity; Smart Home";Conference Paper;
Vrain E., Wilson C.;Social networks and communication behaviour underlying smart home adoption in the UK;2021;Environmental Innovation and Societal Transitions;6;Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, Norfolk, NR4 7TJ, United Kingdom;Consumer-facing digital innovations with the potential to reduce carbon emissions often exist in small market niches and their impact has been limited thus far. Using the established Diffusion of Innovations theory which considers interpersonal communication amongst social networks to be a vital mechanism for exchanging information, we conducted an online survey in the UK to investigate the social networks and communication behaviours of adopters and non-adopters of three different energy saving smart home technologies. Applying social network analysis and statistically testing hypotheses, our results reveal the potential social barriers to the diffusion of information, with social network structure and characteristics creating obstacles. This research provides necessary insights into real early adopters, confirms the importance of focussing research on the often-neglected social elements of diffusion theory and helps identify marketing strategies and policy actions using social mechanisms to accelerate a low carbon transition. © 2020;"Climate change; Consumer-facing technology; Diffusion of Innovations; Energy demand; Social mechanisms";Article;All Open Access, Green
Shuhaiber A., Mashal I., Alsaryrah O.;The Role of Smart Homes' Attributes on Users' Acceptance;2019;2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019;6;"Zayed University, College of Technological Innovation, Abu Dhabi, United Arab Emirates; Aqaba University of Technology, Computer Science Department, Aqaba, Jordan; E-government Unit, Supreme Judge Department, Amman, Jordan";Smart homes are important application of Internet of Things (IoT) that offer control and automation to residents to allow them to connect and manage home appliances intelligently. Despite its potential, the success of smart home heavily depends on accepting them by residents. Thus, this study aims to investigate the factors that influence residents' acceptance and usage of smart home. By extending the technology acceptance model, this research focused on the role of smart home attributes on the intention to use them and investigate their impact quantitatively. The proposed conceptual model incorporates cost, personalization, and availability and study their influence on attitude towards and intention to use smart homes. © 2019 IEEE.;"Internet of Things; Smart home; Smart home attributes; Technology Acceptance-Model component; User acceptance";Conference Paper;
Spoladore D., Mahroo A., Trombetta A., Sacco M.;DOMUS: a domestic ontology managed ubiquitous system;2022;Journal of Ambient Intelligence and Humanized Computing;5;"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), via G. Previati 1/E, Lecco, 23900, Italy; Department of Pure and Applied Sciences, Insubria University, via Ottorino Rossi 9, Varese, 21100, Italy";In the last decades, researches in the fields of Ambient Assisted Living and Smart Home have adopted technological paradigms to provide inhabitants with tailored solutions able to help them in their daily life, enable energy savings and monitor safety. Within this context, this paper introduces DOMUS, a Domestic Ontology Managed Ubiquitous System aimed at enabling the Smart Home paradigm and supporting dwellers characterized by frailty in autonomous living, a condition affecting elderlies in both physical and cognitive ways. DOMUS leverages ontological modelling of many domains of knowledge to customize indoor comfort management and to assist the dwellers in some of their Activities of Daily Living. The presented system exploits the semantic modeling of inhabitant’s health-related concepts to trigger the actuation of indoor comfort metrics inside the domestic environment. DOMUS’s complexity is hidden to the dwellers, who can interact with the system via an adaptive ubiquitous interface—the Home Interactive Controller (HIC). In this work, DOMUS’s architecture and its ontological framework are described in detail. Also, the functionalities provided via HIC and dedicated to the inhabitants are presented, focusing on customization of comfort and assistance in the process of meal preparation. Preliminary tests concerning the inferences produced by the ontologies, the evaluation of the usability of the system and its acceptance from target users are also presented: the first results highlight a good level of usability of DOMUS through the HIC, while its level of acceptance is encouraging and suggests some improvements. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.;"Ontology engineering; Ontology-based decision support system; Smart environment; Smart home architecture";Article;
Tu G., Faure C., Schleich J., Guetlein M.-C.;The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey;2021;Technological Forecasting and Social Change;5;"European Centre for Environment and Human Health, University of Exeter. Truro, United Kingdom; Grenoble Ecole de Management, Grenoble, 38000, France; Fraunhofer Institute for Systems and Innovation Research, Karlsruhe, 76139, Germany";"Smart thermostats may provide up to 10% savings in residential thermal energy use without loss of comfort, yet their diffusion has typically been slow. To better understand adoption of these devices, we conducted an online survey with approximately 5,500 respondents from eight European countries that included both a discrete choice experiment (DCE) and stated past adoption of smart thermostats. The results we obtained by estimating mixed logit models suggest that households value heating cost savings, remote temperature control, the display of changes in energy consumption, and recommendations by experts, albeit with substantial heterogeneity across countries; in comparison, subsidies are positively valued in all countries except for Germany and Spain, and recommendations by energy providers in all countries except Poland where they are negatively valued. Further, the findings provide evidence that consumer innovativeness reinforces the acceptance of technical attributes (heating cost savings, feedback functionalities, and remote temperature control), that privacy concerns reduce the acceptance of remote functionalities, and that stronger environmental identity reinforces the acceptance of environmentally related attributes (heating cost savings and feedback functionalities). The results we obtained from estimating binary response models of stated past adoption of smart thermostats are generally consistent with those of the DCE. © 2020";"Choice experiment; Innovativeness; Mixed logit; Privacy; Smart home devices; Smart thermostats";Article;All Open Access, Bronze, Green
Tural E., Lu D., Austin Cole D.;Safely and Actively Aging in Place: Older Adults’ Attitudes and Intentions Toward Smart Home Technologies;2021;Gerontology and Geriatric Medicine;5;Virginia Tech, Blacksburg, United States;As smart technology use is growing in residential environments, research on how such technologies can provide opportunities for safely and actively aging in place by integrating physical activity into daily routines and reducing sedentariness is scarce. This study investigated older adults’ intentions to use and attitudes toward currently available smart home technologies that could contribute to safe and active lives in and around home. The focus was on four representative technologies: smart lighting, smart door locks, smart fire prevention devices, and smart home systems/home automation. This paper presents the results of a sequential mixed-methods study comprised of online and in-person surveys (n = 129), and a focus group of community-dwelling older adults, aged 50+ (n = 15). Ordinal regression analyses indicated that perceived usefulness consistently predicts older adults’ attitudes and willingness to use smart home products. While smart fire prevention devices were viewed most favorably due to their potential safety benefits, perceived affordability significantly influenced older adults’ intentions to use them in their homes. The focus group findings underscore technology skepticism, privacy concerns and return on investment as significant determinants of attitudes toward the smart design products. The study has implications of designers and manufacturers by providing insights on how to prioritize smart home technology integrations to homes. © The Author(s) 2021.;"aging-in-place; older people; smart home; smart home technology; technology acceptance model";Article;All Open Access, Gold, Green
Gross C., Siepermann M., Lackes R.;The Acceptance of Smart Home Technology;2020;Lecture Notes in Business Information Processing;5;TU Dortmund, Otto-Hahn-Str. 12, Dortmund, 44227, Germany;The market for smart home technology (SHT) has increased rapidly and is said to do so during the next years. In particular, comfort and security features are the main focus of vendors. This paper aims to examine the different influencing factors that have an impact on the adoption decision of consumers. For this, a survey was conducted among 327 German consumers. Results show that perceived security and comfort are significant influencing factors. In particular, control functions play an important role. In contrast, neither usability of SHT nor costs show a noteworthy impact on the adoption decision, although costs are expected to be high. © 2020, Springer Nature Switzerland AG.;"Perceived comfort; Perceived costs; Perceived security; Smart home technology; Technology acceptance model";Conference Paper;
Barbosa N.M., Zhang Z., Wang Y.;Do privacy and security matter to everyone? Quantifying and clustering user-centric considerations about smart home device adoption;2020;Proceedings of the 16th Symposium on Usable Privacy and Security, SOUPS 2020;5;University of Illinois, Urbana-Champaign, United States;While consumer adoption of smart home devices continues to grow, privacy concerns reportedly remain a roadblock to mass adoption. However, it is unclear exactly how the interplay between privacy and other factors affect consumers' purchase decisions, and whether such considerations are held only by certain consumer groups but not others. In order to unpack the decision-making process of smart home device adoption, we conducted a mixed-method analysis using online survey data collected from 631 US participants. Our analysis uncovered motivators and blockers of purchase decisions, along with their relative importance. We found that consumers can be segmented based on their considerations into three clusters: affordability-oriented, privacy-oriented, and reliability-oriented. We present an in-depth quantification of consumer considerations on smart home device adoption along with desired privacy and security features consumers wish to use to protect their privacy in the smart home. © 2020 by The USENIX Association.;;Conference Paper;
Shuhaiber A., Mashal I., Alsaryrah O.;Smart homes as an IoT application: Predicting attitudes and behaviours;2019;Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA;5;"College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates; Computer Science Department, Aqaba University of Technology, Aqaba, Jordan; E-government Unit, Supreme Judge Department, Amman, Jordan";Smart homes are one of the recent Internet of Things (IoT) applications that offer control and automation to residents to allow them to connect and manage home appliances intelligently. Despite its potential, the success of smart home heavily depends on accepting them by residents. Thus, this study aims to investigate the factors that influence residents acceptance and usage of smart home. By extending the technology acceptance model, this research focused on the role of smart home attributes on the intention to use them and investigate their impact quantitatively by using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Results show that service personalization, perceived usefulness, and perceived ease of use significantly influence attitude towards smart home which, with the cost and availability factors, impact the intention to use. © 2019 IEEE.;"Internet of Things; Smart home; Smart home attributes; Technology Acceptance Model; User acceptance";Conference Paper;
Kuebel H., Zarnekow R.;Exploring platform adoption in the smart home case;2015;2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015;5;Technische Universitaet Berlin, Straße des 17. Juni 135, Berlin, 10623, Germany;Smart home (SH) services promote the comfort, convenience, security, entertainment, healthcare, education and communication of people in their home environments. Despite radical enhancements envisioned to peoples' lives, the SH market has remained a niche for more than three decades. Yet, recent fast-paced developments, including ubiquitous computing, miniaturization of microelectronic components and digitalization of societies, have spurred a new wave of interest in a field populated by various technology platforms battling for dominance. In this light, we explore the determinants for wide-spread adoption of SH platforms informed by 21 experts from 19 companies. Our qualitative content analysis identifies, classifies, ranks and describes 34 determinants and yields a theoretical model on SH platform adoption. As such, we provide a basis for further research on platform ecosystems and managerial implications on platform design and governance in the SH field. In particular, we highlight the technical and organizational openness and the legitimacy of sponsorship.;"Dominant designs; Explorative expert interviews; Information technology adoption; Platform ecosystems; Smart home platforms";Conference Paper;
Al-Husamiyah A., Al-Bashayreh M.;A comprehensive acceptance model for smart home services;2021;International Journal of Data and Network Science;4;Applied Science Private University (ASU), Jordan;"Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs. © 2022 by the authors; licensee Growing Science, Canada.";"Innovation Diffusion Theory; Smart Home Services; Technology Acceptance Model; Theory of Planned Behavior";Article;All Open Access, Gold
Nikki Han M.J., Kim M.J., Kim I.H.;Exploring the user performance of Korean women in smart homes with a focus on user adoption;2021;Journal of Building Engineering;4;"School of Architecture, Hanyang University, Seoul, 04783, South Korea; Department of Architecture, Kyung Hee University, Yongin, 17104, South Korea";The penetration of smart homes into households in South Korea is fast growing and is predicted to reach a domestic market value of up to seven billion US dollars by 2026. However, the factors affecting user adoption and influencing successful performance are not adequately considered in the current delivery of smart housing. This research aims to explore user adoption by women in South Korea based on their current experience of the smart features delivered in their smart home units. An intensive interview targeting female residents in their thirties and forties who were the dominant occupiers and users of smart homes was conducted. The results from the intensive interviews provided three principle findings. First, the three steps of user adoption (awareness, opportunity and experience) were not adequately achieved by users, which led to unsatisfactory approaches to living in the smart home. Second, a lack of pre-instruction and guidance led to poor knowledgeability in the application, which negatively affected the opportunity and experience of smart features. Third, many smart features in the contemporary smart home are not users' preferred brand or product type. User preferences and needs are neglected in current top-down delivery systems, which negatively affect the satisfaction levels of users. This study reveals the significance of the three steps of user adoption to achieve optimal user performance through an alternative delivery strategy. The provision of a new approach to smart housing delivery that adequately considers users’ preferences and needs is required to achieve the successful user performance proposed in this study. © 2021 Elsevier Ltd;"Smart environment; Smart home; Sustainable living; User adoption; User experience; User performance";Article;
Mamonov S., Benbunan-Fich R.;Unlocking the smart home: exploring key factors affecting the smart lock adoption intention;2021;Information Technology and People;4;"Department of Information Management and Business Analytics, Montclair State University, Montclair, NJ, United States; Paul H Chook Department of Computer Information Systems and Statistics, Baruch College, New York, NY, United States";Purpose: This study examines the factorial structure of salient user beliefs associated with smart locks. We also examine the predictive value of the identified constructs on the smart lock adoption intention and we evaluate gender differences in the predictive value of the identified constructs. Design/methodology/approach: The study assumes pragmatic epistemological stance and it leverages mixed-methods research design. The research progresses through three stages: belief elicitation, exploratory factor analysis and confirmatory factor analysis within a nomological network. New groups of participants were recruited for each stage of the study. Findings: We find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-à-vis conventional locks in providing safety and security is significantly correlated with adoption intention for both genders. We also find that perceived novel benefits are a significant predictor of the smart lock adoption intention for women, but not for men. Research limitations/implications: Our results indicate that perceived relative advantage can be the singular critical consideration in the adoption of smart home technologies that replace incumbent solutions. The results also demonstrate that gender-specific models can better capture gender effects that influence technology adoption and use. Practical implications: Smart home technology vendors would need to convince prospective users that new technology is better than the incumbent solutions on the core affordances of the incumbent technology. Men and women differ in the consideration of novel benefits afforded by novel technologies. Originality/value: This is among the first studies to examine salient beliefs that affect smart home technology adoption. The findings suggest that the traditional models (TAM, UTAUT) do not capture the key salient beliefs that can influence innovative smart home technology adoption. The study also suggests that gendered models are needed to understand technology adoption in contexts where technology adoption intersects with gender roles. © 2020, Emerald Publishing Limited.;"Access control; Adoption; End users; Innovation; IT artifact; Ubiquitous system";Article;
Amiripalli S.S., Bobba V.;An Optimal Graph based ZigBee Mesh for Smart Homes;2020;Journal of Scientific and Industrial Research;4;"K L University, Guntur, AP  522 502, India; GITAM University, Visakhapatnam, AP  530 045, India; TKR Collage of Engineering and Technology, Hyderabad, 500 097, India";The usages of IoT devices are increasing exponentially since a decade. To manage all these devices new technologies like ZigBee, 6Lowpan, LoRa etc., are available in the industry. ZigBee is popular among them which are mainly used for home automation systems. Star, cluster tree, mesh supports topologies in ZigBee. These topologies may not fulfill the requirement in improving Quality of service in design of smart home applications. To address this problem a simple, scalable, survivable graph-based topology named as TGO topology is proposed. Implementation can be performed in three phases deployment of sensors, basic topology formation and network formation. For the proposed topology, experiments were conducted on various qualities of service parameters like battery level, power consumption, bandwidth, throughput, capacity, network life time etc. by using cupcarbon simulator. © 2017 Polish Forest Society. All rights reserved.;"Cupcarbon simulator; IoT; Optimization; Smart cities; Smart Homes; Trimet Graph; ZigBee";Article;
Miniaoui S., Atalla S., Hashim K.F.B.;Introducing Innovative Item Management Process towards Providing Smart Fridges;2019;2019 2nd International Conference on Communication Engineering and Technology, ICCET 2019;4;College of Engineering, IT University of Dubai, Dubai, United Arab Emirates;RFID technology is increasingly embedded in applications for serving end-users such as in smart homes. This paper focuses on using RFID for items tracking and management within smart fridges. We are proposing an innovative and practical process for managing smart fridges for the main objective of preventing waste of perishable food. The proposed process is not requiring any prior tagging of items which makes it closer to the current end-user habit. End-users are notified through alert messages every time they connect on the smart fridge Web application in order to consume identified items before it expires. Browsing as well as item searching (by keyword or by category) is provided to end-users. Additional features such as recipes suggestions and automatic ordering of grocery list were introduced for making hence item management and control of smart fridges more effective. © 2019 IEEE.;"business process; internet of things IoT; item tracking; RFID Technology; smart fridge; user adoption";Conference Paper;
Marikyan D., Papagiannidis S., Alamanos E.;Smart Home Technology Acceptance: An Empirical Investigation;2019;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);4;Newcastle University Business School, 5 Barrack Road, Newcastle upon Tyne, NE1 4SE, United Kingdom;Recent technological advances have contributed to the development of smart homes, embedded with artificial intelligence, which aim to provide tailored services to residents. Smart home technologies benefit people daily and improve the environment in the long-term perspective. Despite the great interest of the research community in smart homes, the adoption rate is still low. The purpose of this study is to develop the research model, which can explain the acceptance of smart homes by users. Along with the relationship of technology acceptance factors with use behaviour, this study analyses the importance of individuals’ belief and values. Structural equational modelling has been employed to test the proposed hypotheses using a sample of 422 smart home users. The analysis revealed the significance of the relationships between values and perceived technology-fit, while the technology acceptance factors had a strong correlation with use behaviour leading to satisfaction. © 2019, IFIP International Federation for Information Processing.;"Smart home technology; Smart technology; Technology acceptance model; Use behaviour";Conference Paper;All Open Access, Green
Wright D., Shank D.B.;Smart Home Technology Diffusion in a Living Laboratory;2019;Journal of Technical Writing and Communication;4;Missouri University of Science and Technology, Rolla, MO, United States;Smart home products continue to rise in popularity but have yet to achieve widespread adoption. There is little research on how the general population perceives benefits of different smart home devices beyond general surveys. Using a living laboratory of five solar houses that we equipped with a range of smart home devices, we assessed how university student residents learn about, use, and gain interest in adopting this smart home technology. Analysis of data confirms that users find lifestyle benefits to be the most important motivators for adopting smart home technology. Yet without training in using that technology, these benefits do not outweigh the risks associated with learning to operate that technology. © The Author(s) 2019.;"adoption; diffusion; innovation; smart home; social psychology; technical communication; technology";Article;
Schomakers E.-M., Biermann H., Ziefle M.;Understanding privacy and trust in smart home environments;2020;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);3;Human-Computer Interaction Center, RWTH Aachen University, Campus-Boulevard 57, Aachen, 52074, Germany;Smart homes – a residence with innovative, interconnected, and automated technologies – can enhance the resident’s quality of life and well-being. Despite these potentials, users’ may have concerns about the increased automation which negatively influence their technology acceptance. Missing trust in automated technologies and privacy concerns have been identified as crucial barriers for smart home adoption. Still, privacy and trust perceptions in smart homes have not yet been deeply understood. Also, the effect of different automation levels has not been studied so far. In a qualitative empirical approach, we examine perceptions of privacy and trust in smart home technologies depending on the level of automation (using two juxtaposed scenarios: partially automated vs. highly automated). 10 adults (20 to 87 years) were interviewed. Trust in smart home technologies comprises multiple dimensions of not only trust in the functionality of the technology but also in the human stakeholders involved and in connected technologies. Privacy in smart home does not only regard informational privacy (data protection) but also physical, social, and psychological dimensions of privacy which are often neglected. The results show that privacy and trust in smart home are interdependent. The degree of automation strongly influences privacy and trust perceptions – with a higher automation leading to more concerns. Our results contribute to a deeper understanding of privacy and trust in smart homes. The negative impact of the level of automation on privacy and trust perceptions is a guide for the development of smart home technologies that meet users’ acceptance. © Springer Nature Switzerland AG 2020.;"Privacy; Smart home; Technology acceptance; Trust in automation";Conference Paper;
Rajagopal K., Mahajan V., Sen S., Divkar S.;Energy efficient smart home automation adoption-A research;2019;International Journal of Innovative Technology and Exploring Engineering;3;Marketing department, Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed), Pune, Maharashtra, India;The home appliance usage and application of the infotainment, entertainment and communication has increased alarmingly with the advent of technology. However, the energy consumed by these equipment’s has also gone high. Therefore, there is an inert need for studying and planning for the energy management and exercise check and control on the energy waste at the domestic environment that occurs due to the inefficient management of the home appliance and Home automation devices. Technology has become a centre-piece of everyone’s lives and is evolving in unimaginable ways. With the advancements in Internet of Things(IoT) space and ease of availability of the technology, innumerable applications of IoT are now possible beyond industries and organisations. One such application of the IoT technology is in a “Smart Home Automation System”. Home Automation also referred to as “domotics” is the process in mechanizing homes using IoT that would allow owners to control lighting, temperature, music systems and other electrical appliances via use of computers or handheld devices such as smart phones or tablets. Apart from the obvious benefit of the ability to remotely control, a home automation system offers multiple benefits such as enhanced security, energy efficiency, monetary savings, comfort & convenience and peace mind to a household that would adopt it. In line with these advantages, this paper will attempt to identify which of these factors are most relevant and important to a consumer and would lead to the adoption of home automation system and what are the factors which are of paramount importance when it comes to energy efficient home automation. © BEIESP.;"Energy efficiency; Home appliances; Home automation; Smart appliances; Smart home devices; Smart home technology";Article;All Open Access, Bronze
Brell T., Biermann H., Philipsen R., Ziefle M.;Trust in Autonomous Technologies: A Contextual Comparison of Influencing User Factors;2019;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);3;Human-Computer Interaction Center, RWTH Aachen University, Campus-Boulevard 57, Aachen, 52074, Germany;Faced with an increasing automation of everyday life, users’ trust in autonomous technologies is a key factor for its successful adoption. Automation of processes, at home or in the transport sector, can offer great advantages (e.g., more comfort and safety), however, transferring control from a human to technology is also a serious challenge for users. Hence, in this study, we examined user diverse trust perceptions and evaluations in contextual comparison. An online questionnaire study was conducted (N = 129), focusing on trust in and the intention to use autonomous driving and smart home environments with regard to different user groups. Results reveal that trust was context sensitive: in particular gender and technical affinity influence users’ decision to (dis)trust autonomous technologies. Also, incentives for the usage differed depending on the context. Test environments were perceived as most important incentive for the context of autonomous driving, whereas users strongly appreciated energy efficiency referring to smart home. These results contribute to a deeper understanding of user needs towards the acceptance of autonomous technologies. © 2019, Springer Nature Switzerland AG.;"Autonomous driving; Smart home; Technology acceptance; Trust in automation; User diversity";Conference Paper;
Fernández M.Á., Peláez V., López G., Carus J.L., Lobato V.;Multimodal interfaces for the smart home: Findings in the process from architectural design to user evaluation;2012;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);3;Fundación CTIC, Centro Tecnológico, C/ Ada Byron, 39, 33203 Gijón, Spain;Smart Environments have specific natural interaction needs that can be provided for with multimodal interfaces. There are still challenges to face, such as the adaptability of the interaction and an evaluation of the proposed systems. This work focuses on these problems and proposes an architectural design evaluated in the domain of Smart Homes. The architectural approach is based on the Model View Presenter Pattern and the Service Oriented paradigm. The evaluation was conducted with a laboratory deployment of a prototype of the system and usability tests were carried out with a usability questionnaire. Results show the technical feasibility of the proposed design and positive user acceptance of the multimodal interface as compared to mono-modal interfaces. © 2012 Springer-Verlag.;"multimodal interaction; smart home; usability evaluation";Conference Paper;
Laavola T., Haataja K., Mielikäinen J., Toivanen P.;Designing and implementing an intelligent X-10-enabled home: Studies in home intelligence;2008;4th IEEE/IFIP International Conference in Central Asia on Internet, ICI 2008;3;Department of Computer Science, University of Kuopio, P.O.Box 1627, FIN-70211 Kuopio, Finland;In this paper, a designing process and implementation details of an intelligent X-10-enabled home are described. Our intelligent home is suitable for both the ordinary people and for the so-called computer professionals or home intelligence enthusiasts. In addition, a comparison with other related research is provided. Moreover, intelligent solutions for future homes are proposed in order to further enhance both the usability and the user acceptance of intelligent homes. © 2008 IEEE.;"GUI; Intelligent home; Sensor network; X-10; X-10-IHGS";Conference Paper;
Li W., Yigitcanlar T., Liu A., Erol I.;Mapping two decades of smart home research: A systematic scientometric analysis;2022;Technological Forecasting and Social Change;2;"School of Architecture and Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia; Henley Business School, University of Reading, Whiteknights, Reading, RG6 6UD, United Kingdom";"Technological advancements such as information and communication technologies (ICTs), artificial intelligence (AI), internet-of-things (IoT), and the increasing popularity of the smart city and smart living movements during the last couple of decades boosted the developments in the smart home domain. Although the number of smart home related research has been expanding rapidly, there is still a lack of systematic analysis of the evolution of this research domain. This study helps to generate an understanding of the historical vicissitude, state-of-the-art and emerging trends, and the existing smart home research clusters. The study applies a scientometric method to analyse the published scholarly research (n = 17,153) over the last two decades, from 2000 to 2021. The scientometric analysis findings reveal that: Smart home literature has experienced steady growth during the last two decades; Smart home research has mainly clustered around ICT for home automation, home information management, AI for home automation, domestic energy management, IoT for home automation, and home-based healthcare areas; IoT is seen as the most popular technology to realise fully functioning smart homes; Limited evidence exists on the urban perspective and social issues of smart home technology; Smart homes are seen potentially as a strong driver of the smart city agenda. © 2022 Elsevier Inc.";"Artificial intelligence (AI); Domotics; Home automation; Home innovation; Internet-of-things (IoT); Smart home";Article;
Zhang W., Liu L.;How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model;2022;Annals of Regional Science;2;"School of Management, University of Science and Technology of China, Hefei, China; School of Public Finance and Taxation, Nanjing University of Finance and Economics, Nanjing, China";Eco-friendly smart home services (ESHS) play a significant role in environmental protection. The study aims to investigate consumers’ intention to adopt ESHS and employs the theory of technology acceptance model as the theoretical research framework. The model was further extended by incorporating the constructs of knowledge, perceived risk, and environmental consciousness. Data were collected from 643 respondents through a self-administered questionnaire survey and analyzed by structural equation modeling. Results confirmed that perceived ease of use, perceived usefulness, knowledge, and environmental consciousness significantly and positively influence consumers’ intention to adopt ESHS. Consumers’ perceived risk negatively influences perceived usefulness, and consumers’ perceived risk also reduces their intention to adopt ESHS. Moreover, consumers’ knowledge has a positive effect on perceived ease of use and perceived usefulness but has a negative effect on perceived risk. Based on these results, implications from the perspectives of policy makers, ESHS companies, marketing professionals, and practitioners are provided for motivating other consumers to adopt such eco-friendly services. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.;;Conference Paper;
Arar M., Jung C., Awad J., Chohan A.H.;Analysis of smart home technology acceptance and preference for elderly in dubai, uae;2021;Designs;2;Department of Architecture, College of Architecture, Art and Design, Ajman University, P.O. Box 346, Ajman, United Arab Emirates;"The elderly are the most predicted users for smart home technology in the United Arab Emirates and the population over 65 is expected to increase to 24.3% by 2030. Despite the rapid development of smart home technology, research has been mainly focused on technology development. To encourage conservative elderly users, however, smart home technology should be implemented for UAE elderly users to accept and integrate it into their daily lives. The objective of this paper is to analyze the preferences and needs of smart home technologies to understand the behaviors of UAE elderly users, and the factors affecting the acceptance of technology. As a methodology, a survey and interview were conducted for 110 people in their 40s and 60s and a total of 105 valid survey responses were collected and used as data for frequency, mean, cross-analysis, independent sample t-test, one-way variance analysis, and multiple regression analysis with IBM SPSS statistics 27. The results showed that 67.0% of UAE elderly users have chronic diseases such as high blood pressure (16.2%), heart disease (3.8%), diabetes (32.4%), or arthritis (10.5%). Therefore, smart home technology for health management is inevitable to improve overall lifestyles. It was statistically proven that UAE elderly users want automatic fall detection in the living room (39.0%) and bedroom (25.7%). Lifestyle monitoring in living room (44.7%) and bedroom (18.1%); the elderly preferred living room most for daily life assistance (36.2%), environmental control (50.5%), health and biometric monitoring (49.5%), and video conferencing (82.9%). In the case of sensors, elderly preferred the switch at the entrance (36.2%), and motion detecting sensors (42.9%), video cameras (56.2%), and voice recognition (50.5%) sensors in the living room. However, UAE elderly users do not think smart home technology can protect their privacy. It is found that age group and computer technology affinity are the most influential variables and UAE elderly users have an anxiety about technology, which influenced the acceptance of smart home technology. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.";"Dubai; Smart home technology; United arab emirates; User acceptance; User preference";Article;All Open Access, Gold, Green
Shank D.B., Wright D., Lulham R., Thurgood C.;Knowledge, Perceived Benefits, Adoption, and Use of Smart Home Products;2021;International Journal of Human-Computer Interaction;2;"Department of Psychological Science, Missouri University of Science & Technology, Rolla, MO, United States; Department of English and Technical Communication, Missouri University of Science and Technology, Rolla, MO, United States; Design Innovation Research Centre, University of Technology Sydney, Sydney, Australia; School of Design, Swinburne University of Technology, Melbourne, Australia";What are the relationships between knowledge of, perceived benefits, adoption of, and use of smart home products? To explore this question, in our first two studies we focus on the general population’s perceptions of benefits across many types of smart home products by creating a corpus of smart home product descriptions. Study 1 (n = 399) shows that previous product knowledge influences a range of perceived benefits. Study 2 (n = 242) demonstrates which benefits increase non-owners’ likelihood of adopting these products. In study 3, we longitudinally survey eight residents in living laboratory houses equipped with 10 integrated smart home products. We find over a year access to the products increases perceptions of their benefits, but does not increase their actual use. Collectively, these studies contribute to an increased understanding of the relationship among benefits, use, and adoption of this emerging technology. © 2020 Taylor & Francis Group, LLC.;;Article;
Attour A., Baudino M., Krafft J., Lazaric N.;Determinants of energy tracking application use at the city level: Evidence from France;2020;Energy Policy;2;Université Côte d'Azur, CNRS, GREDEG, France;"This paper investigates the determinants of smart energy tracking app usage by citizens residing in French cities. Our framework is inspired by the extant strands of literature on smart cities and smart home technology adoption, but also contributing to them as smart energy applications reveal specificities that need to be incorporated; the latter include, for instance, the distinction between adoption and frequency of use, or the consideration of additional determinants such as privacy or environmental concerns. For our study, we build an original survey and rely upon citizen-level data, testing a Zero-Inflated Ordered Probit (ZIOP) model which allows to differentiate between adoption of the smart energy app and its frequency of utilization. Our empirical findings reveal how the drivers related to smart city characteristics mainly affect the decision of adoption of energy tracking apps. Conversely, the more individual characteristics related to the perceived benefits of using energy tracking apps, dwelling type, and privacy concerns, primarily affect the frequency of utilization. Our results bear policy implications on the issue of privacy, premising additional research on energy challenges in the utilization of energy apps in smart versus non-smart environments. © 2020 Elsevier Ltd";"Digitization; Energy; Smart cities; Smart energy apps";Article;All Open Access, Bronze, Green
Lutolli E., Vrhovec S.L.R.;Adoption of smarthome devices: Blinded by benefits, ignoring the dangers?;2019;Elektrotehniski Vestnik/Electrotechnical Review;2;University of Maribor, Faculty of Criminal Justice and Security, Kotnikova 8, Ljubljana, 1000, Slovenia;Smarthomes aim to facilitate everyday tasks of their residents. To achieve this, a substantial amount of data is being collected and analyzed in smarthome systems. Smarthomes are comprised of a myriad of individual smart devices (e.g., sensors, home appliances), control centers (e.g., smart TVs) and even systems (e.g., cooling system). Since these devices are connected to the internet (e.g., for remote management through mobile apps integrated into a manufacturer's cloud), they are threatened by cyberattacks and other dangers to security and privacy of smarthome residents. In the paper we try to determine which factors influence the adoption of smarthomes. A survey is conducted among internet users using convenience sampling (N = 120). Findings suggest that the use of smart devices is associated with benefits and knowledge of smarthomes but not with the perceived dangers nor presence of smarthomes. A probable explanation is that the benefits of smarthomes outweigh their dangers when individuals are deciding to adopt them. © 2019 Electrotechnical Society of Slovenia. All rights reserved.;"Acceptance; Adoption; Cyber security; Cybersecurity; Internet of things; IoT; Privacy; Smart home; Use";Article;
Menard P., Bott G.J.;Investigating privacy concerns of Internet of Things (IoT) Users;2018;Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018;2;"University of South Alabama, United States; University of Alabama, United States";The Internet of Things (IoT) has entered public awareness due mostly to using IoT devices for creating smart homes. Although IoT provides numerous benefits due to increased information and control, the technology also introduces various vulnerabilities. IoT vendors have rushed products to market with little concern for security or privacy implications. Humans are the weakest link, but there are few opportunities to introduce preventative interventions for mitigating potential security breaches in home contexts. Part of the solution is identifying users' concerns related to the privacy of their IoT-managed information and examining how those concerns are weighed in IoT adoption decisions. In this research, we aim to examine the privacy concerns of IoT users in light of the increased data disclosure that is often central to the utility of IoT devices. We propose an experimental design capturing users' privacy perceptions as well as the actual privacy allowances on their mobile devices. © 2018 Association for Information Systems. All rights reserved.;"Internet of Things; Mobile; Privacy; Smart homes";Conference Paper;
Franzo S., Frattini F., Latilla V.M., Longo M.;Towards the diffusion of smart buildings: The economic viability of the adoption of a home automation system in an existing building;2017;2017 IEEE Manchester PowerTech, Powertech 2017;2;"Politecnico di Milano, Dept. of Management, Economics and Indutrial Engineering, Milano, Italy; Politecnico di Milano, Dept. of Energy, Milan, Italy";Home Automation systems represent one of the most promising technologies for energy efficiency, which is currently considered one of main factors enabling an environmental sustainable growth. However, several barriers hinder a massive diffusion of Home Automation systems and their economic viability. The paper aims to analyze the economic viability of the adoption of a Home Automation system in different scenarios: the first one refers to the sole adoption of a Home Automation system, the second one concerns the adoption of the Home Automation system in addition to other energy efficiency technologies, while the third one also includes the installation of a PV plant. The economic simulations, based on a 200 m2 house located in Northern Italy and built in the 1980's, performed using the traditional discounted cash flow methodologies (i.e. Net Present Value, Pay-Back Time and Internal Rate of Return), show that the adoption of the Home Automation system without other technologies for energy efficiency and the support of the electricity produced by RES - i.e. the first scenario - is the most profitable one. © 2017 IEEE.;"discounted cash flow; economic evaluation; energy efficiency; home automation system; smart buildings";Conference Paper;
Kobus C., Klaassen E., Kohlmann J., Knigge J., Boots S.;Sharing lessons learned on developing and operating Smart Grid pilots with households;2013;2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013;2;"Industrial Design Engineering, Delft University of Technology, Delft, Netherlands; Electrical Engineering Faculty, Eindhoven University of Technology, Eindhoven, Netherlands; Innovation, Enexis B.V., Rosmalen, Netherlands";Today, technology is still leading Smart Grid development. Nevertheless, the awareness that it should be a multidisciplinary effort to foster public acceptance and even desirability of Smart Grids is increasing. This paper illustrates the added value of a multidisciplinary approach by sharing the lessons learned of setting up and accomplishing pilots with households, connected to a Smart Grid by an Energy Management System (EMS). This paper mainly intends to answer the question of how to engage households. It aims to be of value for initiators and developers of Smart Grid pilot concepts involving residential households. © 2013 IEEE.;"Consumer behavior; Customer service; Energy consumption; Energy Management; Smart homes; User centred design";Conference Paper;
Torbensen R., Hansen K.M., Hjorth T.S.;My home is my bazaar - A taxonomy and classification of current wireless home network protocols;2011;Proceedings - 2011 2nd Eastern European Regional Conference on the Engineering of Computer Based Systems, ECBS-EERC 2011;2;"Department of Electronic Systems, University of Aalborg, 9220 Aalborg, Denmark; DIKU, 2100 København Ø, Denmark; Southern University of Denmark, 6400 Sønderborg, Denmark";Recent advances in wireless communication have produced a multitude of related protocols, leading to a growing market of products for home automation systems within energy management, elder care, etc. These systems are different from wired ones in terms of architectures and qualities, which leads to considerable challenges for developers and integrators in understanding and choosing between the available wireless technologies. To further increase technology adoption and improve business risk assessments, it is necessary to determine the important properties of the technologies in order to compare them. First, we review the technical details of a number of established wireless technologies currently sold in the market. Second, a taxonomy is constructed based on the ISO 9126 quality framework. A number of evaluation criteria are determined such as maturity, replace ability, openness, resource efficiency, cost, security, etc. Third, a classification based on the taxonomy and the collected data is presented. In the final discussion, we identify a number of key aspects that could be important technology criteria for future development of home automation protocols. © 2011 IEEE.;"home automation; pervasive computing; protocols; security; taxonomy; wireless networks";Conference Paper;
Moses J.C., Adibi S., Angelova M., Islam S.M.S.;Smart Home Technology Solutions for Cardiovascular Diseases: A Systematic Review;2022;Applied System Innovation;1;"School of Information Technology, Deakin University, Burwood, VIC  3125, Australia; Institute for Physical Activity and Nutrition (IPAN), Deakin University, Burwood, VIC  3125, Australia";Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have potential to monitor health status and support people with CVD in their homes. We explored the Smart Home Technologies available for CVD monitoring and management in people with CVD and acceptance of the available technologies to end-users. We systematically searched four databases, namely Medline, Web of Science, Embase, and IEEE, from 1990 to 2020 (search date 18 March 2020). “Smart-Home” was defined as a system using integrated sensor technologies. We included studies using sensors, such as wearable and non-wearable devices, to capture vital signs relevant to CVD at home settings and to transfer the data using communication systems, including the gateway. We categorised the articles for parameters monitored, communication systems and data sharing, end-user applications, regulations, and user acceptance. The initial search yielded 2462 articles, and the elimination of duplicates resulted in 1760 articles. Of the 36 articles eligible for full-text screening, we selected five Smart Home Technology studies for CVD management with sensor devices connected to a gateway and having a web-based user interface. We observed that the participants of all the studies were people with heart failure. A total of three main categories—Smart Home Technology for CVD management, user acceptance, and the role of regulatory agencies—were developed and discussed. There is an imperative need to monitor CVD patients’ vital parameters regularly. However, limited Smart Home Technology is available to address CVD patients’ needs and monitor health risks. Our review suggests the need to develop and test Smart Home Technology for people with CVD. Our findings provide insights and guidelines into critical issues, including Smart Home Technology for CVD management, user acceptance, and regulatory agency’s role to be followed when designing, developing, and deploying Smart Home Technology for CVD. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.;"cardiovascular disease; chronic disease; COVID-19; information technology; regulatory agency; sensor; smart home; user acceptance";Review;All Open Access, Gold
Pliatsikas P., Economides A.A.;Factors Influencing Intention of Greek Consumers to Use Smart Home Technology;2022;Applied System Innovation;1;Information Systems IPPS, University of Macedonia, Thessaloniki, 54636, Greece;New technologies’ advances offer innovative automations to people’s daily lives. More and more devices are continuously connected to the internet allowing people to control them remotely. The smart home is such a technological development. However, it is uncertain whether and to what extent the average consumer will accept smart home technology. The purpose of this study is to investigate the factors that affect the intention of Greek consumers to use smart home technology. The results of this study show that Greek consumers are beginning to have a positive attitude towards smart home technology. Important factors that contribute to their intention to use smart home technology include their perceived usefulness, compatibility, and ease of use of smart home technology. On the contrary, they do not think that they are influenced by their social environment regarding their intention to use smart home technology. Finally, they think that the major benefits of using smart home technology include the health monitoring, home security, and cost savings. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.;"Greek consumers; Perceived compatibility; Perceived ease of use; Perceived enjoyment; Perceived usability; Smart home; Smart technology; Technology acceptance model";Article;All Open Access, Gold
Song Y., Yang Y., Cheng P.;The Investigation of Adoption of Voice?User Interface (VUI) in Smart Home Systems among Chinese Older Adults;2022;Sensors;1;"College of Literature and Journalism, Sichuan University, Chengdu, 610064, China; Digital Convergence Laboratory of Chinese Cultural Inheritance and Global Communication, Sichuan University, Chengdu, 610207, China; School of Construction Machinery, Chang’an University, Xi’an, 716604, China; Design Department, School of Social Science and Humanity, Harbin Institute of Technology (Shenzhen), Shenzhen, 518000, China";Driven by advanced voice interaction technology, the voice?user interface (VUI) has gained popularity in recent years. VUI has been integrated into various devices in the context of the smart home system. In comparison with traditional interaction methods, VUI provides multiple benefits. VUI allows for hands?free and eyes?free interaction. It also enables users to perform multiple tasks while interacting. Moreover, as VUI is highly similar to a natural conversation in daily lives, it is intuitive to learn. The advantages provided by VUI are particularly beneficial to older adults, who suffer from decreases in physical and cognitive abilities, which hinder their interaction with electronic devices through traditional methods. However, the factors that influence older adults’ adoption of VUI remain unknown. This study addresses this research gap by proposing a conceptual model. On the basis of the technology adoption model (TAM) and the senior technology adoption model (STAM), this study considers the characteristic of VUI and the characteristic of older adults through incorporating the construct of trust and aging?related characteristics (i.e., perceived physical conditions, mobile self?efficacy, technology anxiety, self?actualization). A survey was designed and conducted. A total of 420 Chinese older adults participated in this survey, and they were current or potential users of VUI. Through structural equation modeling, data were analyzed. Results showed a good fit with the proposed conceptual model. Path analysis revealed that three factors determine Chinese older adults’ adoption of VUI: perceived usefulness, perceived ease of use, and trust. Aging?related characteristics also influence older adults’ adoption of VUI, but they are mediated by perceived usefulness, perceived ease of use, and trust. Specifically, mobile self?efficacy is demonstrated to positively influence trust and perceived ease of use but negatively influence perceived usefulness. Self?actualization exhibits positive influences on perceived usefulness and perceived ease of use. Technology anxiety only exerts influence on perceived ease of use in a mar-ginal way. No significant influences of perceived physical conditions were found. This study ex-tends the TAM and STAM by incorporating additional variables to explain Chinese older adults’ adoption of VUI. These results also provide valuable implications for developing suitable VUI for older adults as well as planning actionable communication strategies for promoting VUI among Chinese older adults. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.;"Older adults; Senior technology adoption model (STAM); Technology adoption model (TAM); Trust voice?user interface (VUI)";Article;All Open Access, Gold, Green
Meyer-Waarden L., Cloarec J., Adams C., Aliman D.N., Wirth V.;Home, sweet home: How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities;2022;Systemes d'Information et Management;1;"TSM Research, Université Toulouse Capitole, CNRS, Toulouse, France & Business Science Institute, Luxembourg; Iaelyon School of Management, Université Jean Moulin Lyon 3, Lyon, Magellan, France; Tribe29 GmbH, Munich, Germany; Chair for Marketing & Media, Westfälische Wilhelms-University, Münster, Germany; Osnabrück University, Osnabrück, Germany";"The recent increase in the use of artificial intelligence (AI) and the Internet of Things has given rise to fundamental changes that affect users' daily lives. Smart connected objects and smart homes have appeared. The purpose of this study is to understand the acceptance and resistance factors of AI-based smart homes by combining the unified theory of acceptance and use of technology (UTAUT) with other relevant theories (technology acceptance theories from AI and robots research; regulatory focus theory; uses and gratifications theory; technology readiness theory) in a unified model. Cross-cultural data are collected in Western countries (France, Germany) and an Eastern country (China) and analyzed using ordinary least squares path analysis modeling. The results show that consumers pursue complementary types of goals when making decisions (e.g., utilitarian, prevention-oriented goals and affective, promotion-oriented goals involving well-being). We found a strong positive impact of smart homes' technology security, trust, and well-being on people's intention to use. Perceived privacy risks negatively influence people's intention to use only in developed countries. © 2022. All Rights Reserved.";"acceptation de la technologie; artificial intelligence; bien-être; confiance technologique; intelligence artificielle; IoT; IoT; maison intelligente; privacy concerns; regulatory focus theory; smart city; smart home; technology acceptance; technology trust; uses and gratifications theory; vie privée; ville intelligente; well-being";Article;
Sorwar G., Aggar C., Penman O., Seton C., Ward A.;Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data;2022;Informatics for Health and Social Care;1;"Southern Cross University, School of Science and Engineering, Coolangatta, QLD, Australia; Southern Cross University, School of Health and Human Sciences, Coolangatta, QLD, Australia; Feros Care Ltd, Coolangatta, QLD, Australia";Smart Home Technology presents an exciting opportunity to support seniors living independently in their homes. Despite widespread interest in Smart Homes, seniors’ readiness to adopt Smart Home Technology is low. To determine the factors underpinning Australian seniors’ acceptance and adoption of Smart Home Technology using an extended UTAUT model that includes Trust, Resistance to Change and Technology Anxiety. A longitudinal study was conducted to validate the proposed model prior to and after the implementation of a pilot Smart Home Modification program for seniors. Structural Equation Modeling has been applied to test the proposed hypotheses using a sample of 60 seniors in regional Australia. Perceived Usefulness is an important predictor of Smart Home Technology adoption by seniors. Trust was found to indirectly predict adoption of Smart Home Technology via Perceived Usefulness. This study showed that Perceived Usefulness and Trust are critical factors for the acceptance and use of SHT by seniors, validating the extension of UTAUT with a Trust factor. This makes a unique theoretical contribution to the literature with implications for aged care providers and policymakers to consider seniors’ perceived usefulness and trust in the design, development, and implementation of Smart Home solutions. © 2022 Taylor & Francis Group, LLC.;"acceptance and adoption models; australian; seniors; smart home technology; UTAUT";Article;
Radha R.K.;Flexible smart home design: Case study to design future smart home prototypes;2022;Ain Shams Engineering Journal;1;College of Engineering, Department of Architecture Engineering, University of Sulaimani, Sulaymaniyah, Kurdistan Region, Iraq;Most Smart home literature is not realistic since technologies are implemented at the end of the design process without taking into account the working, physical, and spatial aspects. No comprehensive work has been done regarding spatial design modifications accommodating the lifestyle requirement of Smart Home inhabitants, especially in Sulaymaniyah, Iraq. To fill the knowledge gap the research establishes practical guidelines for designing- Flexible Smart Home Models based on holistic literature review and case study of design preferences using virtual reality experiment and a questionnaire survey. Results indicated higher technology acceptance and flexible spatial integration of public and private zones by younger sample (75 m2 prototype) compared to the older sample with 115 m2 prototype and less versatile space. It was concluded that the opportunity to change scale, form, relation, and configuration becomes simpler, quicker with more possibilities of arranging spaces in smart homes with the help of the hypothetical prototypes. © 2021 THE AUTHOR;"Design preference; Flexible smart homes; Smart technology; Technology acceptance";Article;All Open Access, Gold
Lukas A., Maucher I., Bugler S., Flemming D., Meyer I.;Security and user acceptance of an intelligent home emergency call system for older people living at home with limited daily living skills and receiving home care [Sicherheit und Nutzerakzeptanz eines intelligenten Hausnotrufsystems im Einsatz bei älteren pflegebedürftigen zu Hause lebenden Menschen mit eingeschränkter Alltagskompetenz];2021;Zeitschrift fur Gerontologie und Geriatrie;1;"Zentrum für Altersmedizin, Malteser Krankenhaus Seliger Gerhard Bonn/Rhein-Sieg, Akademisches Lehrkrankenhaus der Universität Bonn, Von-Hompesch-Straße 1, Bonn, 53123, Germany; Klinik für Orthopädie und Unfallchirurgische, Geriatrische Orthopädie und Unfallchirurgie, Uniklinik Bonn, Bonn, Germany; Deutsche Telekom Healthcare & Security Solutions GmbH, Berlin, Germany; DHC Digital HealthCare-Systems GmbH, Bochum, Germany; Prosystem AG, Hamburg, Germany; Katholische Stiftungshochschule München, München, Germany; PMV forschungsgruppe, Universität zu Köln, Köln, Germany";Background: Technically based support measures are becoming increasingly more important in an aging society. Such support measures can provide a self-determined life in familiar surroundings despite the need for care. An example for such a support measure is an intelligent home emergency call system (iHNR system), which automatically detects critical situations (e.g. falling down), transmits this information to an emergency call center and therefore initiates assistance faster. Objective: The aim of this uncontrolled, two center observational study was to evaluate the security and acceptance of an iHNR system used by older people receiving home care. Material and methods: The study was carried out based on 51 subjects with at least a 6-month observation period using the iHNR system. The iHNR system was installed in all homes of the participants. Interviews about acceptance, perceived and objective security, impact on independence and usability of the new iHNR system were conducted. Analysis was performed with particular respect to depression, quality of life, frailty and self-estimated need for assistance. Results: A total of 39 complete records were collected and evaluated. The participants represented a vulnerable group of people with rather depressive moods, negative quality of life and a high level of frailty without significant changes over the observation period. Positive results were found regarding subjective and objective security and acceptance as well as ease of operation of the iHNR system. The fear of falling was only marginally influenced. Conclusion: Acceptance regarding the new iHNR system was high. The system provoked a stronger sense of security while at the same time leading to a reduced sense of control. The system seems to be able to detect critical events and can automatically and quickly alert the necessary help services. Therefore, people in need of care can remain longer in their own homes. © 2020, Springer Medizin Verlag GmbH, ein Teil von Springer Nature.;"Active-assisted living; Domotic Systems; Intelligent home emergency call system; Telecare; Telehealth";Article;
Chang S., Nam K.;Smart home adoption: The impact of user characteristics and differences in perception of benefits;2021;Buildings;1;Department of Interior Architecture Design, Hanyang University, Seoul, 04763, South Korea;Despite the various benefits offered by smart homes, they have not yet been widely adopted by mainstream users. This study was designed to identify user perceptions in the association between smart home service preference and adoption and to identify factors affecting the adoption and service preferences of smart homes. In order to achieve the goal of the study, an online survey was conducted among 400 potential users in the Republic of Korea. The main findings are as follows: First, there were considerable needs for the services that can support the independent lives of residents, such as safety and convenience services, among all age groups. Second, the study findings suggested that those who preferred environmental control service most were more likely to become relatively active adopters. Third, a significant association between the preference for smart home services and the intention to use was identified. Finally, the study findings suggested that the number of service preferences and adoption was not directly proportional. The findings reported in this study can improve the overall understanding of the process of adopting smart homes, and can provide important insights into user-centered strategies to promote the adoption of smart home services. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.;"Influencing factors; Service preference; Smart home; Technology adoption; User characteristics";Article;All Open Access, Gold
Scharnhorst L., Sandmeier T., Ardone A., Fichtner W.;The impact of economic and non-economic incentives to induce residential demand response—findings from a living lab experiment;2021;Energies;1;Institute for Industrial Production (IIP), Karlsruhe Institute of Technology (KIT), Karlsruhe, 76187, Germany;This study assesses the impact of economic and non-economic incentives to induce demand response in private households. The experiment was realized by a three-months residential phase in which two tenants lived in the Energy Smart Home Lab, an experimental lab with the equipment of a modern smart home. The tenants received calls to action (CtAs) on a regular basis, incentivized economically or by moral nudges with a social or environmental background. A mixed-methods approach, consisting of smart meter data analysis, a value scale assessment, surveys and interviews, assessed the tenants’ reactions on their energy consumption behavior towards the CtAs. The smart meter data shows that the tenants performed the majority of CtAs, revealing no significant difference between economic or non-economic incentives. Results from the value scale, the interviews and the surveys indicate that this behavior might be due to the tenants’ high tendency towards biospheric and altruistic values and a high self-efficacy. Furthermore, the consequences of the COVID-19 pandemic caused a 100% home-office situation, suggesting a higher flexibility of the tenants. Although the results are not representative and need further experiments to be confirmed, the incentives show a promising potential to evoke residential demand response. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.;"(non)-economic incentives; Behavioral change; COVID-19 pandemic; Energy consumption behavior; Flexibility; Living lab; Residential demand response; Smart home; Technology acceptance; Technology adoption";Article;All Open Access, Gold, Green
Van Hung T., Thao T.N.P., Kieu T.N.T., Hien D.Q.;Research on factors influencing intention to use Smart home devices in Danang;2021;Proceedings - 2021 21st ACIS International Semi-Virtual Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD-Winter 2021;1;Vietnam-Korea University of Information and Communication Technology, The University of Danang, Faculty of Digital Economy E-commerce, Danang City, Viet Nam;With the outstanding development of the information and communication technology industry, the Internet of Things (Internet of Things) has become an outstanding trend all over the world. Internet of Things can completely change the way people live in the future because of its applications. Smart home is a recent application of the Internet of Things with the aim of improving the quality of life for everyone. Besides the attractive potentials, the adoption of Smart home in general as well as smart home devices in particular has not yet been widely accessed to the mass market. This article proposes a research model to investigate the intention of using Smart home devices of consumers living and working in Danang city based on technology acceptance model. The study is based on 287 samples collected from Danang residents since November 2019, based on quantitative analysis by soft SPSS and AMOS. © 2021 IEEE.;"Intention to use; Smart home; TAM";Conference Paper;
Radha R.K.;Smart home design flexibility as an enabler of sustainability and the reception in Sulaiymaniah, Kurdistan Region-Iraq;2020;Journal of Building Pathology and Rehabilitation;1;College of Engineering, Department of Architecture Engineering, University of Sulaimani, Sulaymaniyah, Kurdistan Region, Iraq;Technological progress has become a key aspect of our well-being and impacts both our daily life and everyone’s use of architectural space. The recent decade has witnessed a rapid evolution of technology which paved the way for smart interior design solutions and stimulated the environment for designers. Studying the effect of integrating smart solutions into aspects of flexible and sustainable interior design. In general, one of the most important ways to achieve Sustainability is to develop the space flexibility by the integration of home automation technology into future living spaces to ensure more efficient use of space (adaptable buildings are likely to use the same amount of space and materials more efficiently, on average, over their entire life). Smart homes have different goals and end-users. A smart home has to be a house and a home to stay, but as the way of living changes within the house, certain changes in space are needed to satisfy the new lifestyle of the occupants. This study explores how flexible space can improve the sustainability of interior design by using Smart Technology and understand the level of acceptance of smart home technology and the design preferences by the people of Sulaymaniyah. A questionnaire survey was established based on the literature review of principles of flexibility, sustainability, and smart technology in interior design, collected raw data and perform statistical analysis to understand whether or not Smart home technology is suitable for the region and what would be the design preferences of people to make it more welcomed in the housing sector as a solution to attain more flexible and sustainable buildings. Results explained that there is a market for Smart Homes in the region of Sulaymaniyah with some modifications in the concepts of smart homes design. The younger group of samples is more accepting of the concept while the older group is also accepting, however, is not entirely comfortable with the complete integration of public and private zones of the future Smart homes. © 2020, Springer Nature Switzerland AG.;"Design preferences; Smart home; Smart technology; Sustainability; Technological acceptance";Article;
Bruegger P., Wilde A., Guibert L.;On the Development of a Resident Monitoring System: Usability, Privacy and Security aspects;2020;Proceedings - IEEE Congress on Cybermatics: 2020 IEEE International Conferences on Internet of Things, iThings 2020, IEEE Green Computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social Computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020;1;"School of Engineering and Architecture of Fribourg, University of Applied Sciences - Western Switzerland, Fribourg, CH-1705, Switzerland; University of Winchester, Department of Digital TechnologiesSO22 4NR, United Kingdom; Centre for Health Technologies (CHT), Electronics and Computer Science, University of SouthamptonSO17 1BJ, United Kingdom";Worldwide, the elderly have suffered disproportionately from the effects of the COVID-19 pandemic, both in terms of their prognosis once contracted the disease and in terms of the preventative measures required for this demographic, who are at much higher risk than the rest of the population. In the 'new normal', the well-being of older adults (residing either in their own homes or in care homes) will be ideally monitored remotely. These measures would preserve the independence of individuals without compromising on their safety. In this paper we discuss aspects of the design and implementation of a resident monitoring system (RMS) with particular emphasis on overcoming the barriers for adoption among these populations, by addressing the aspects of usability, privacy and security at the core of the development of such a system. We discuss the current challenges of this research and future work on the RMS. © 2020 IEEE.;"acceptability; ethics; Resident monitoring; smart homes; vulnerable groups";Conference Paper;All Open Access, Green
Gultom R.N., Asvial M.;Analysis of Affecting Technology Adoption Factors for Smart Home Services in Jabodetabek, Indonesia;2020;Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020;1;Universitas Indonesia, Department of Electrical Engineering, Jakarta, Indonesia;Smart home services have been developed by several companies in Indonesia. However, the adoption of the use of smart home services in Indonesia is still relatively low. This study aims to analyze the adoption factors that influence people in the use of smart home services. The results of the questionnaire with respondents living in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek) is analyzed by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) method. There are 11 hypotheses to be tested testing with Structural Equation Modeling (SEM). The analysis shows that there are seven accepted hypotheses. The factors that influence the Jabodetabek people in using smart home services are performance expectancy, effort expectancy, hedonic motivation, risk, trust, the attractiveness of alternatives, and behavioral intention. © 2020 IEEE.;"adoption; Indonesia; SEM; smart home services; UTAUT2";Conference Paper;
Liu Y., Li M., Chen Y., Tzeng G.-H.;Evaluation of and improvement planning for smart homes using rough knowledge-based rules on a hybrid multiple attribute decision-making model;2020;Soft Computing;1;"School of Economics and Management, Harbin Institute of Technology Weihai, No. 2, West Wenhua Road, High-tech District, Weihai, Shandong, China; Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Rd., San Shia District, New Taipei City, 23741, Taiwan";This paper proposes fuzzy integral-based decision methods to identify the core factors and their relationships for smart homes product improvement. The dominance-based rough set approach was used to retrieve core attributes and obtain rough knowledge-based rules. The decision-making trial and evaluation laboratory (DEMATEL) technique was used to build an influential network relationship map, and influential weights were determined through the DEMATEL-based analytic network process. Subsequently, the inter-relationships among criteria were calculated. Finally, the fuzzy integral method was used to measure the plausible synergy effects among the criteria, evaluate/rank alternatives for smart homes, and then provide suggestions for product improvement. The main innovation is the use of rough knowledge-based rule retrieval procedures and fuzzy measures for exploring the synergy effects on smart home improvement. Three smart home products/systems were examined to illustrate their performance on each criterion for improvement planning. This study contributes knowledge to research on consumer adoption of smart homes and presents improvement strategies. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.;"Consumer adoption; Core factors; DANP method; DEMATEL technique; DRSA; Fuzzy integral; Smart home";Article;
Kim H., Kim H.-M., Lee M.;An Empirical Study of the Korean Telecommunication Market and IoT Smart Home: Effects of Bundling Strategy on Consumers' Responses;2020;Journal of Distribution Science;1;Business School, Sungkyunkwan University, South Korea;"Purpose: This research focused on the fact that the Internet platform is integral to IoT products such as Smart home and studied consumer buying decisions when products are sold bundled with internet service. Contrary to the sales strategies of telecommunication companies, some companies sell IoT products alone, for example Google, Kakao, and Naver. In this market situation, the sales strategies of Korean telecommunication companies were analyzed with bundling theory and technology acceptance model, then it was conducted to figure out which sales and distribution strategies could affect consumers’ purchase behavior. Research design, data, methodology: Data was collected by149 questionnaires from groups who are familiar with IoT smart home systems, then exploratory factor analysis and regression were used to analyze the research model. Results: The results revealed that the perceived ease of use and the perceived usefulness affect the purchase intention of IoT-based products; however, this effect was not found in the case of bundled products. In other words, it is found that selling and distributing Internet services and IoT products together does not affect consumers’ purchases. Conclusion: It is suggested that Korean telecommunications companies’ existing sales and distribution strategies for IoT products need to be changed according to its characteristics. © 2020 The Author(s). All Rights Reserved.";"Bundling Strategy; Distribution Strategy; IoT Smart Home; Product Bundling; Technology Acceptance Model(TAM); Telecommuniation Companies";Article;
Eggert M.;Understanding the acceptance of smart home-based insurances;2020;27th European Conference on Information Systems - Information Systems for a Sharing Society, ECIS 2019;1;University of Applied Sciences Aachen, Aachen, Germany;The distribution of smart home technology (SHT) in private households grows steadily and enables disruptive business models. Besides the obvious advantage of more comfortability through the usage of SHT, the probability of residence-related risks such as fire, water leakage or burglary might decrease. In turn, insurance companies benefit from less insurance risks and more accurate actuarial models. Insurance companies already offer smart home devices combined with insurance products and assistance services, so called smart home-based insurances (SHBI). The research work at hand provides a theoretical model that partially explains the acceptance of SHBI. Its research contribution is threefold. First, an explanatory model for the acceptance of SHBI is presented. Second, the results of a survey with 127 participants provide the data for the hypotheses evaluation. Third, the analysis results foster discussions about ongoing research in the field of SHBI acceptance. © 27th European Conference on Information Systems - Information Systems for a Sharing Society, ECIS 2019. All rights reserved.;"Acceptance; Insurance; Smart home; Theoretical model";Conference Paper;
FakhrHosseini M., Lee C., Coughlin J.F.;Smarter Homes for Older Adults: Building a Framework Around Types and Levels of Autonomy;2019;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);1;Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA  02139, United States;The types and levels of autonomy have been deeply discussed and, in some cases, standardized in the areas of human robot interaction, autonomous vehicles, and spaceflight vehicles. However, there is not an established framework for in-home technologies, which is a growing area of technological development. Home technologies have had significant effects on how people live, especially improving the ways in which older adults and their caregivers navigate various daily tasks. Having a framework to define the types and levels of automation in home technologies is necessary to better understand the state of the art, identify current and future directions for development, and facilitate communication between stakeholders. This paper reviews existing studies on smart home technologies and previous efforts around building taxonomies of automation in different domains. Literature around technology adoption among older adults and related design considerations are also discussed to further describe home automation as it applies to improving independence among older adults. © 2019, Springer Nature Switzerland AG.;"Automation; Home technologies; Older adults; Smart home";Conference Paper;
Maulana H., Al-Jabari M.R.;Development of Smart Home System to Controlling and Monitoring Electronic Devices using Microcontroller;2018;IOP Conference Series: Materials Science and Engineering;1;Department of Informatics Engineering and Computer Science, Universitas Komputer Indonesia, Jl. Dipatiukur no 112-114, Bandung, 40134, Indonesia;The purpose of this study was to build Smart Home system using a microcontroller for controlling and monitoring electronic devices. There are 4 stages of building the system, it starts from Information gathering to generate user specification requirements, followed by assembling hardware, developing software, and system testing using blackbox testing and user acceptance test. The built system utilizes Microcontroller that equipped with Wifi module so the user can use the system to monitor usage of electronic devices that exist in their home and also can control the electrical appLiance via the internet. Based on the results of system testing, Smart home system to control and monitor electronic devices using the microcontroller. More than 80% of user agreed that this system can reduce the power consumption and save time used by homeowners to check electronic devices before doing an activity outside the home. With this system users no longer feel worried about the status of their electronic Devices while doing activities outside the home. © Published under licence by IOP Publishing Ltd.;;Conference Paper;All Open Access, Bronze
Amirthalingam D., Peko G., Sundaram D.;People, Process, and Technology Dimensions of Smart Home Adoption;2018;Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018;1;University of Auckland, New Zealand;"Smart Home Ecosystems consist of multiple IoT devices (Internet of things) that communicate with each other to increase the ease of everyday activities. Though there are many advantages to adopting smart homes, the uptake has been slow. Smart homes have been the focus of interest for governmental as well as private organizations as there is a promise for costs to be saved and reduction of energy use if implemented. Though smart homes are filled with many smart devices, there are certain characteristics and requirements that makes adopting the technology more feasible. This paper will investigate the major requirements for a smart home ecosystem under three dimensions; people, process and technology. Understanding these requirements and identifying the current challenges will allow solutions to be formed on how to increase the rate of adoption. These potential solutions will be shown through a proposed artefact which will show the requirements, challenges and solutions. © 2018 Association for Information Systems. All rights reserved.";"adoption; challenges; framework; IoT; requirements; smart home ecosystem; Smart homes; solutions";Conference Paper;
Aboltins R., Blumberga D.;In search for market-based energy efficiency investment in households: Smart home solutions as an option for optimized use of energy and reduction of costs for energy;2018;Energy Procedia;1;Institute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, Riga, LV-1048, Latvia;Investment in energy efficiency measures lacks regulatory incentives, and a lot depends on how actively energy efficiency is promoted by utilities. If large-scale energy efficiency does not work, consumers have to get motivated individually. Utilities are well positioned to deploy market-based energy efficiency initiatives that require accessible investment from households and energy efficiency product from utilities. Smart home solutions that include energy efficiency elements are being tested on the market by utility companies in search of a mutual benefit - energy and cost saving for the consumer and profit for utilities. Mass deployment of technologies benefiting consumers in terms of energy efficiency depends on applicability and acceptance of technologies and gains for the consumers expressed in value propositions - economy, comfort and security. Data from the households involved in testing smart home solutions indicates that installation of smart home technologies has had no immediate impact on energy consumption and costs for energy. Some of the factors affecting the results are identified, but further qualitative analysis is needed for a more detailed insight that would allow drawing conclusions about what has to and can be done to stimulate investment in innovative energy efficiency solutions. Indicatively, the answers rest within consumer behavior, regulatory environment, factors related to the energy market, and ability and willingness to invest. © 2018 The Authors. Published by Elsevier Ltd.;"energy costs; energy efficiency; households; investments; smart home solutions";Conference Paper;All Open Access, Gold
Diehl C., Schiffhauer B., Eyssel F., Achenbach J., Klett S., Botsch M., Kopp S.;Get one or create one: The impact of graded involvement in a selection procedure for a virtual agent on satisfaction and suitability ratings;2017;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);1;Cluster of Excellence in “Cognitive Interaction Technology” (CITEC), Bielefeld University, P.O. Box 10 01 31, Bielefeld, 33501, Germany;N = 86 participants were either confronted with a predefined virtual agent, or could select a virtual agent from predefined sets of six or 30 graphical models, or had the opportunity to self-customize the agent’s appearance more freely. We investigated the effect of graded user involvement in the selection procedure on their ratings of satisfaction with the agent and perceived task suitability. In a second step, we explored the psychological mechanism underlying this effect. Statistical analyses revealed that satisfaction with the chosen virtual agent increased with the degree of participants’ involvement in terms of more choice, but not in terms of self-customization. Furthermore, we show that this effect was driven by the perceived likeability, attractiveness, and competence of the agent. We discuss implications of our results for the development of a virtual agent serving as a virtual assistant in a smart home environment. © Springer International Publishing AG 2017.;"Customization; Smart home; Technology acceptance; Virtual agents";Conference Paper;
Heine T., Buhr D., Eschweiler G., Weimar U.;Cross-generational smart environment acceptance: Experiences of experiencing smart environments at the LebensPhasenHaus;2016;Proceedings of the 1st Workshop on Embodied Interaction with Smart Environments, EISE 2016;1;"University of Tuebingen, Faculty of Science, Auf der Morgenstelle 15, Germany; University of Tuebingen, Faculty of Economics and Social Sciences, Melanchthonstr. 36, Germany; University Hospital Tuebingen, Centre for Geriatric Medicine, Osianderstrasse 24, Germany";More than 95 million people in the European Union (EU28) are aged 65 years or above. How could smart environments support nearly a fifth of the European population to stay active, healthy and independent? This contribution shares experiences with respect to the degree user involvement influences the level of acceptance of complex smart environments in the domains of domotics and active & healthy ageing. An ageing society is confronted with challenges but in parallel there is a plethora of opportunities that might sooner or later impact the development and usage of smart environments. This was the starting point for the LebensPhasenHaus in Tuebingen (Germany), which provides the opportunity to touch, explore and experience technologies and services in the field of independent living. Following the quadruple helix approach of the European Commission, all relevant stakeholders (academia, businesses, government authorities and the civil society) have to be involved. Elerly volunteers help to raise the awareness and acceptance of smart environments by strengthening user involvement. It is shown how acceptance can be considered to be a running process, based in observations and experiences in Tuebingen. © 2016 ACM.;"Ambient Assisted Living (AAL); Home Automation; Living; Smart Home &; Technology Acceptance Model (TAM); User Centered Design (UCD)";Conference Paper;
Bernsdorf C., Hasreiter N., Kranz D., Sommer S., Rossmann A.;Technology Acceptance in the Case of IoT Appliances;2016;Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI);1;Knowledge Foundation, Reutlingen University, Alteburgstraße 150, Reutlingen, 72762, Germany;The Internet of Things (IoT) refers to the interconnectedness of physical objects, and works by equipping the latter with sensors and actuators as a means to connect to the Internet. The number of connected things has increased threefold over the past five years. Consequently, firms expect the IoT to become a source of new business models driven by technology. However, only a few early adopters have started to install and use IoT appliances on a frequent basis. So it is still unclear which factors drive technological acceptance of IoT appliances. Confronting this gap in current research, the present paper explores how IoT appliances are conceptually defined, which factors drive technological acceptance of IoT appliances, and how firms can use results in order to improve value propositions in corresponding business models. It is discovered that IoT appliance vendors need to support a broad focus as the potential buyers expose a large variety. As conclusions from this insight, the paper illustrates some flexible marketing strategies. © 2016 Gesellschaft fur Informatik (GI). All rights reserved.;"Business Models; Digital Business Management; Digital Strategy; Internet of Things; Marketing; Smart Home; Technology Acceptance";Conference Paper;
Sponselee A.-M.A.-M.G.;Acceptance and effectiveness of smart home solutions;2016;Handbook of Smart Homes, Health Care and Well-Being;1;Fontys University of Applied Sciences, Eindhoven, Netherlands;Despite current developments in health care, demographics, and technology, the implementation and use of smart home technologies has so far not been as effective as possible. Possible barriers are a lack of incentives and vision on technology application, the complexity of technology and the financing structure, the multidisciplinary collaboration, and the user-technology interaction. This chapter describes recommendations to increase the effectiveness of smart home technology, which relate to a better user-fit, evidence-based practice, technological improvements, project organization, and the financing structure. © Springer International Publishing Switzerland 2017.;"Acceptance; Needs; Organization; Smart homes; Stakeholders";Book Chapter;
Mohammadi M.M., Hammink C.J.H.W.;Standards for smart living: A historical overview;2016;Handbook of Smart Homes, Health Care and Well-Being;1;"Lectoraat Sustainable Health Environments, Hogeschool van Arnhem en Nijmegen, Arnhem, Netherlands; Department of the Built Environment, Eindhoven University of Technology, Eindhoven, Netherlands";This chapter provides an introduction into the current state of acceptance of smart home technology and its history. It starts with examining four stages of domestic technology, the current situation, and the future of smart home technology. This chapter aims to apply concepts from literature on the diffusion of innovation on the past, present, and future of smart home technology. Lastly, this chapter examines the analogies between technology adoption discussed in the first three stages of domestic technology with the present and future situation of home automation and robotics. © Springer International Publishing Switzerland 2017.;"Adoption; History; Home automation; Innovation process; Smart homes";Book Chapter;
Muehlan H., Schmidt S.;Psycho-social aspects of personal health monitoring: A descriptive literature review;2013;Studies in Health Technology and Informatics;1;Department of Health and Prevention, Ernst-Moritz-Arndt University of Greifswald, Germany;We aimed at providing a short review on already published studies addressing psycho-social issues of personal health monitoring (PHM). Both core questions addressed within this review are: What is the impact of PHM on intended psycho-social and health-related outcomes? And which psycho-social issues affected by or related to PHM have already been investigated? This descriptive review based on a literature search using various databases (Psycinfo, Psyndex, Pubmed, SSCI). Resulting 428 abstracts were coded regarding their psycho-social content. Inspection of results was carried out along the relevance of the papers regarding psycho-social issues. Research in PHM focuses on telemonitoring and smart home applications: Tele-monitoring studies are directed to outcome-related questions, smart home studies to feasibility issues. Despite of technological matters, comparability of both systems in psycho-social issues is lacking. Tele-monitoring has been proven for impact on patient groups with chronic diseases, yet smart home still lacks evidence in health-related and psycho-social matters. Smart home applications have been investigated with respect to attitudes, perceptions and concerns of end-users, telemonitoring regarding acceptance and adherence. © 2013 The authors and IOS Press. All rights reserved.;"Personal health monitoring; telemonitoring";Conference Paper;
López G., Peláez V., González R., Lobato V.;Voice control in smart homes using distant microphones: A voiceXML-based approach;2011;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);1;Fundación CTIC, Edificio Centros Tecnológicos, Parque Científico Y Tecnológico Gijón, c/Ada Byron, 39, Asturias, 33203, Spain;This paper proposes the design of a voice control module for intelligent environments, primarily oriented to home environments. An intelligent environment is understood to be a ubiquitous space equipped with embedded devices. This solution is based on the main standards in the field of speech technologies (VoiceXML, MRCP, SRGS and SISR), dynamically adaptable to structural changes in the home automation system and scalable to the number of rooms and devices in the home. The final solution has been validated in a real home automation installation, using distant speech recognition and a keyword detection approach (keyword spotting, KWS). KWS works as an input filter for the dialogue system, making it more robust against noise. Test results have shown the technical feasibility of the solution and promising user acceptance. © 2011 Springer-Verlag.;"ambient intelligence (AmI); distant speech recognition; keyword spotting (KWS); smart home; voice control";Conference Paper;
Domschke W.;Quo vadis smart metering? [Quo vadis smart metering?];2009;GWF, Gas - Erdgas;1;QUNDIS GmbH, Mühlhausen, Germany;"Smart metering is an important trend for energy billing today. However different groups have different definitions of ""smart metering"". If standards are established for smart meter communication, the different views of smart metering will come together and permit the cost-effective adoption of smart meter devices, communication infrastructure, system installation and system management. Only then will smart metering systems be competitive with today's metering systems. The energy saving effect expected by lawmakers can only be realized with smart metering systems. The current ambitions for finding standards for communication are oriented on utilities. New business models, new players in the market and new services for occupiers require opening up new horizons. In flats the internet will be the backbone for communication, entertainment, health care as well as smart metering. Home automation is put into a new perspective from the point of view of energy saving.";;Article;
Belimpasakis P., Awan S.A., Berki E.;Mobile content sharing utilizing the home infrastructure;2008;Proceedings - The 2nd International Conference on Next Generation Mobile Applications, Services, and Technologies, NGMAST 2008;1;"Nokia Research Center; University of Tampere, Finland";Mobile content sharing, as a practical concept, has had limited user acceptance. There is, though, a need for improving the communication and social interaction of people, and content sharing practices can prove to be a significant factor for creating a communication culture. Current available technologies for mobile content creation and sharing impose functionality and usability obstacles and are not widely used by mobile phone users. We propose a solution to ease and automate mobile content creation and sharing using a client-server system, in which client software runs on mobile device whereas server software runs on home PC. This solution principally automates mobile content sharing by reusing end-users ' smart homes resources, such as storage and the Internet connections, without other parties' interventions or risks that might lead to privacy concerns. The system allows a group of mobile devices to create an alliance for the sake of content sharing. A. prototype implementation proved the feasibility and usability of the concept, setting the baseline for further functionality enhancements in future research and development. © 2008 IEEE.;;Conference Paper;
Indrawan B., Alzamora D.G., Rahmatullah M.S., Wikarta A.;Facial Recognition-Based Automatic Door Security System Integrated with Internet of Things for Smart Home Actualization;2023;Lecture Notes in Mechanical Engineering;0;Department of Mechanical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia;Conventional door lock uses physical keys, which is a well-known technology but it also has its flaws, including the possibility of getting stolen, misplaced, lost, or even getting duplicated. The popular solution to that is to use biometrics data, but most of them require special hardware that needs direct contact. Conventional door lock also doesn’t have any means of control and monitor for the owner, and when a crime happens it often doesn’t have enough evidence for an investigation to proceed. Therefore, we designed a system that can replace physical keys, has multiple layers of automatic security system, gives access to control and monitor, and also helps with criminal investigations. From the research and experiment conducted, it is obtained that the door security system using face recognition can replace physical keys with a false rate as low as 0%. The system has multiple layers of automatic security system as a smart home actualization. The system provides access to control and monitor for the owner with an average time response of 0.553 s while also unaffected by the distance. The security system can also help crime investigations by providing evidence through images and videos taken by the system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.;"Door lock; Face recognition; False acceptance rate (FAR); False rejection rate (FRR); Security System";Conference Paper;
Ohlan R., Ohlan A.;A comprehensive bibliometric analysis and visualization of smart home research;2022;Technological Forecasting and Social Change;0;"Institute of Management Studies and Research, Maharshi Dayanand University, Haryana, Rohtak, 124001, India; Department of Mathematics, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India";The smart home penetration rate has grown considerably across the globe. This study presents a comprehensive bibliometric analysis of the trends and patterns in the general smart home research corpus using data from 5167 publications published in the Web of Science indexed sources over 2001–2021. The results show that the volume and impact of studies on smart homes have grown amazingly. Across multiple disciplines, at least 82 % of the research work in this set has been cited at least once. Additionally, China has emerged as a global leader in smart home research publications and influence. The USA has also made a considerable contribution to smart home scholarship. Most of the analyzed research publications are collaborative types. The scholars affiliated with China-based institutions have a close association with those from the USA, Australia, England, and Taiwan in the global network of smart home research papers. The Institute of Electrical and Electronics Engineers (IEEE) is identified as the leading publisher in this research field. The citation and usage count are found to be positively associated with each other. Intelligent sensors, wireless fidelity, load modeling, real-time systems, and computational modeling are identified as emerging knowledge domains in the field of smart homes. © 2022 Elsevier Inc.;"Burst detection; Co-citation analysis; Home automation; Journal citation indicator; Performance analysis; Science mapping";Article;
Förster A., Block J.;User Adoption of Smart Home Systems;2022;ACM International Conference Proceeding Series;0;University of Bremen, Germany;Smart home systems for energy efficiency have the potential to reduce global emissions and help save valuable resources. However, users are still hesitant to adopt such systems for various reasons. In this work in progress, we present a pre-study with current users and potential users of such systems to explore their reservations and experiences. Even if limited in size and significance, the pre-study shows some interesting trends, such as a correlation between a high level of education and a lower willingness to adopt a smart home system. Starting from these observations, we define a novel technology adoption model for smart home systems from the users' perspective. We identify a list of recommendations for future products and services and our own research questions for the future. © 2022 Owner/Author.;"energy efficiency; internet of things; smart home; sustainability; technology adoption models; user satisfaction";Conference Paper;All Open Access, Bronze
Basarir-Ozel B., Turker H.B., Nasir V.A.;Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective;2022;Sustainability (Switzerland);0;Department of Management Information Systems, Bogazici University, Istanbul, 34342, Turkey;Smart homes embrace advanced technologies and the connectedness of devices that aim to increase consumers’ life quality. They are based on data integration over shared platforms collected via sensors and wireless networks. However, although consumers’ current and potential adoption of smart homes have received some research interest, there is a low number of studies considering the foreseeable future of smart homes from the business perspective. To fulfill this gap in the literature, this study presents the results of an exploratory research attempting to reveal the foresight of the business side regarding the penetration of smart home technologies (SHTs) into consumers’ lives. Based on the opinions of industry experts collected through 13 semistructured in-depth interviews, numerous drivers of and barriers to SHT adoption are uncovered and displayed in their intertwined relationship in a thematic map. In creating this map, the qualitative data gathered through the interviews are integrated with widely used theories/models of technology adoption in the literature to develop a full-fledged set of determinants. As a result, drivers of SHT adoption (five sub-themes) and barriers that hinder smart home penetration (eight subthemes) were determined. Drivers consist of relative advantage, enjoyment, image enhancement, modern and multifunctional design, and consumers’ technology innovativeness. In contrast, the main barriers are high cost, complexity, lack of compatibility, lack of trialability, lack of observability, lack of a trusted brand in the market, lack of facilitating conditions and support services, and consumers’ technology anxiety. This rich set of SHT adoption determinants can be used in future studies to examine their relative impact on consumers’ adoption of SHT. © 2022 by the authors.;"in-depth interview; internet of things; IoT; qualitative research; smart homes; thematic map";Article;All Open Access, Gold
Street J., Barrie H., Eliott J., Carolan L., McCorry F., Cebulla A., Phillipson L., Prokopovich K., Hanson-Easey S., Burgess T., Smart Ageing Research Group;Older Adults’ Perspectives of Smart Technologies to Support Aging at Home: Insights from Five World Café Forums;2022;International Journal of Environmental Research and Public Health;0;"School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Level 4, Rundle Mall Plaza, 50 Rundle Mall, Adelaide, 5000, Australia; Australian Centre for Engagement, Evidence and Values, University of Wollongong, Northfields Ave, Wollongong, 2522, Australia; Centre for Markets, Values and Inclusion, University of South Australia, UniSA City West Campus, Way Lee Building, Adelaide, 2072, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, University of Adelaide, Level 5, Adelaide Health & Medical Sciences Building, Adelaide, 5005, Australia; Australian Industrial Transformation Institute, College of Business, Government and Law, Flinders University, Adelaide, 5001, Australia; Faculty of the Arts, Social Science and Humanities, University of Wollongong, Wollongong, 2522, Australia";Globally, there is an urgent need for solutions that can support our aging populations to live well and reduce the associated economic, social and health burdens. Implementing smart technologies within homes and communities may assist people to live well and ‘age in place’. To date, there has been little consultation with older Australians addressing either the perceived benefits, or the potential social and ethical challenges associated with smart technology use. To address this, we conducted five World Cafés in two Australian states, aiming to capture citizen knowledge about the possibilities and challenges of smart technologies. The participants (n = 84) were aged 55 years and over, English-speaking, and living independently. Grounding our analysis in values-based social science and biomedical ethical principles, we identified the themes reflecting the participants’ understanding, resistance, and acceptance of smart technologies, and the ethical principles, including beneficence, non-maleficence, autonomy, privacy, confidentiality, and justice. Similar to other studies, many of the participants demonstrated cautious and conditional acceptance of smart technologies, while identifying concerns about social isolation, breaches of privacy and confidentiality, surveillance, and stigmatization. Attention to understanding and incorporating the values of older citizens will be important for the acceptance and effectiveness of smart technologies for supporting independent and full lives for older citizens. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.;"aging in place; artificial intelligence; autonomous vehicles; digital health; gerontechnology; older adults; robotic technologies; smart home; smart technologies; smart wearables";Article;All Open Access, Gold, Green
Cao Y., Erdt M., Robert C., Naharudin N.B., Lee S.Q., Theng Y.-L.;Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study;2022;JMIR Aging;0;"Centre for Healthy and Sustainable Cities, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore; Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore";"Background: An increasing aging population has become a pressing problem in many countries. Smart systems and intelligent technologies support aging in place, thereby alleviating the strain on health care systems. Objective: This study aims to identify decision-making factors involved in the adoption of smart home sensors (SHS) by older adults in Singapore. Methods: The study involved 3 phases: as an intervention, SHS were installed in older adults’ homes (N=42) for 4 to 5 weeks; in-depth semistructured interviews were conducted with 18 older adults, 2 center managers, 1 family caregiver, and 1 volunteer to understand the factors involved in the decision-making process toward adoption of SHS; and follow-up feedback was collected from 42 older adult participants to understand the reasons for adopting or not adopting SHS. Results: Of the 42 participants, 31 (74%) adopted SHS after the intervention, whereas 11 (26%) did not adopt SHS. The reasons for not adopting SHS ranged from privacy concerns to a lack of family support. Some participants did not fully understand SHS functionality and did not perceive the benefits of using SHS. From the interviews, we found that the decision-making process toward the adoption of SHS technology involved intrinsic factors, such as understanding the technology and perceiving its usefulness and benefits, and more extrinsic factors, such as considering affordability and care support from the community. Conclusions: We found that training and a strong support ecosystem could empower older adults in their decision to adopt technology. We advise the consideration of human values and involvement of older adults in the design process to build user-centric assistive technology. © Yuanyuan Cao, Mojisola Erdt, Caroline Robert, Nurhazimah Binte Naharudin, Shan Qi Lee, Yin-Leng Theng.";"aging in place; assisted living facilities; assistive technology; health care systems and management; telehealth";Article;All Open Access, Gold, Green
Yan J.J.K., Lee A.S.H.;A Conceptual Model on Integration of Technology Acceptance Model on Smart Home Healthcare System among Elderly;2022;CTISC 2022 - 2022 4th International Conference on Advances in Computer Technology, Information Science and Communications;0;Sunway University, Department of Computing and Information Systems, Malaysia;Aging people has different assistance needs in their day to day lives and their capabilities in independent living at home could vary across individuals. A smart home that integrates healthcare support could be an appropriate approach in improving their self-functional capability and living environment. Smart home healthcare system promises to deliver effective home care to the meet the needs of the elderly while enhancing their quality of life and to promote independent living. Remotely controllable technology made smart home possible in assisting the demands of the elderly. However, older people are generally more conservative in accepting such disruptive technology. Therefore, this study seeks to discover how seniors are accepting the concept of smart home healthcare system by integrating and analyzing a proposed conceptual framework that is extended from the Technology Acceptance Model (TAM). This paper proposed a conceptual model that test both the technological and human factors in influencing the elderly's behavioral intention in accepting the smart home healthcare technology. © 2022 IEEE.;"care; elderly; enhance; life; tech";Conference Paper;
Alhazmi A., Alawaji K., Oconnor T.J.;MPO: MQTT-Based Privacy Orchestrator for Smart Home Users;2022;Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022;0;Florida Institute of Technology, Computer Engineering and Sciences, Melbourne, United States;Security and privacy concerns present the most significant obstacles to consumer adoption of Internet-of- Things (IoT) devices. A lack of transparency and control complicates user trust in IoT. Additionally, a growing history of misuse and abuse exists in IoT. Notably, smart TVs have periodically scanned and collected users' private information without consent. Due to a hybrid of distributed ecosystems within IoT, users cannot easily implement traditional access control over their devices as data flows within different nodes for storage and processing. We propose MQTT-Based Privacy Orchestrator (MPO) to implement traditional access control on IoT devices. MPO enforces privacy preferences by implementing access control at an MQTT broker. We open-source and provide MPO as an add-on to the popular Home Assistant open-source home automation framework to support widespread adoption. We conducted experimental evalu-ations to validate the functionality and examine the performance of MPO. Our performance evaluation generated more than 16,686 messages, which MPO delivered in under a second. Our work demonstrates a practical solution to facilitate users' privacy preferences and enforce access control for MQTT-based devices. © 2022 IEEE.;"Access Control; IoT; MQTT; Privacy";Conference Paper;
Julies B.D., Zuva T.;Consumer Readiness for Adoption of IOT-Smart Homes (CRA-IOT-SH) in South Africa Gauteng;2022;Lecture Notes in Networks and Systems;0;Vaal University of Technology, Private Bag X021, Andries Potgieter Blvd., Vanderbijlpark, 1911, South Africa;There are many advantages that Smart home technology can bring to the modernized household nonetheless, smart home technology is yet in early turn of events and has toiled to take up among consumers. The study’s aim is to look into the readiness of IOT Smart Home technology among consumers in Gauteng South Africa. This paper looks at the relationships between determinant factors influencing the consumer’s intentions. In order to achieve this relationship for the consumer’s adoption the Theory Acceptance Model (TAM) was examined. The factors examined from TAM was Perceived Ease of Use (PEOU), Perceive Usefulness (PU), Relative Advantage (RA), Perceived Innovation (PI), Trust (T), Social Influence (SI), Attitude (AT) and Intention of Use (IOU). The test reflects that PU, PEOU, T, RA and PI has a significant influence on Consumer’s Attitude (A) for adoption of IOT-smart home. However PEOU has an insignificant influence on Perceive Usefulness (PU) in the adoption IOT-smart home. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.;"Attitude; Innovation; Internet of things; Reliability; Reliability; Smart homes; Social influence; TAM; Trust";Conference Paper;
Vinoth Kumar P., Gunapriya B., Sivaranjani S., Gomathi P.S., Rajesh T., Sujitha S., Deebanchakkarawarthi G.;Smart Home Technologies Toward SMART (Specific, Measurable, Achievable, Realistic, and Timely) Outlook;2022;Lecture Notes on Data Engineering and Communications Technologies;0;"Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641008, India; Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bangalore, 560103, India; Department of Electronics and Communication Engineering, VSB Engineering College, Karur, 639111, India; Department of Electrical and Electronics Engineering, Mallareddy Engineering College, Secunderabad, 500100, India; Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, India";Smart home and its associated concepts are familiar among home users and industries for a long known time. However, the lack of awareness and Specific, Measurable, Achievable, Realistic, and Timely (SMART) knowledge, the future for technology adoption in homes is still far away. The current research article provides a view on the state-of-the-art technologies of smart homes, how it impacts the daily life activities and SMART tool which is used to design, develop, construct, and achieve smart home goals. This research article enlists all the studies conducted in smart homes with different viewpoints followed by explaining the SMART tool that is used to set initial goal and plan to attain final goal. The authors compared and contrasted the role played by IoT in smart homes and how wireless protocols are deployed in smart home applications. The paper provides a summary on the significant applications on the basis of comfort, convenience, safety, and security. The paper also explains the sustainable nature of smart homes as zero net energy home and in connection with Leadership in Energy and Environmental Design (LEED). The review attained its SMART goal that is aimed at decoding the wireless protocol in order to suit the smart home applications. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.;"Leadership in Energy and Environmental Design (LEED); SMART; Smart home; Wireless protocol; Zero energy home";Book Chapter;
Shlega M., Maqsood S., Chiasson S.;Users, Smart Homes, and Digital Assistants: Impact of Technology Experience and Adoption;2022;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);0;Carleton University, Ottawa, ON, Canada;"Smart Homes are becoming the norm, with manufacturers including connectivity within many home electronics and appliances by default; and these are often controllable through voice-activated digital assistants. Using an online survey of 212 participants, we explore how users’ self-reported Technology Experience relates to their perceptions of the data protection done by Smart Home devices, their security and privacy concerns towards Smart Home digital assistants, and their likelihood of adopting mitigation techniques for digital assistants. We found no relation between self-reported Technology Experience and our dependent variables. We also compared adopters to non-adopters to explore differences between the two groups. We found that adopters of Smart Home technology had a higher level of perceived data protection and less overall concern towards the assistants. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.";"Digital assistants; Smart Homes; Survey; Technology adoption; Usable security; User study";Conference Paper;
Shank D.B., Wright D., Nasrin S., White M.;Discontinuance and Restricted Acceptance to Reduce Worry after Unwanted Incidents with Smart Home Technology;2022;International Journal of Human-Computer Interaction;0;Missouri University of Science and Technology, Rolla, MO, United States;Interest in and ownership of smart home voice assistants like Amazon Alexa and Google Home devices have exponentially increased in recent years. Many people may purchase or be gifted such devices without knowing their potential for connecting with other home technology, listening to private conversations, sharing information with companies, and creating problems due to misunderstanding vocal commands or technological capabilities. Concerns and worries about these devices may be exacerbated over time or by a specific incident. To understand reactions to such situations, we conducted semi-structured in-depth interviews with 10 people who reported different types of worrying incidents with a range of smart home devices and their reactions to reduce that worry. Conducting a thematic coding analysis, we detail how each case study shows a person’s worries about their smart home technology developed vis-à-vis the incident or over time, and their strategies to alleviate their worry. The two dominant reactions were restricted acceptance or discontinuance of the smart home technology, while three other interviews revealed nuanced reactions on the acceptance-rejection continuum. For each interviewee, we highlight their technology use, any major incidents, and their psychological processes leading up to their actions to reduce worry. This provides an in-depth look at worry around smart home technology products themselves, not their ability to perform, and how discontinuance, restricted acceptance, and other reactions reduce those worries. © 2022 Taylor & Francis Group, LLC.;;Article;
Yang C.W., Lee A.S.-H.;Using Smart Wearable Technology Acceptance Model for Health Monitoring Technology;2022;2022 7th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2022;0;School of Engineering and Technology, Sunway Unversitiy, Department of Computing and Information Systems, Malaysia;The increasing of aging population has caused the rising need for healthcare and assistance through smart wearables health monitoring systems in order to attend impairments in cognitive psychosocial functioning of the elderly, as well as their ability and mobility. To facilitate and encourage the use of smart wearable systems among older adults, this study investigated the factors that may have contributed to the acceptance of such systems, and smart wearables acceptance model for elderly people will be developed by using structural equation modeling. The model will be validated with 250 samples. Validation and reliability of the constructs in the model will be tested through Partial Least Square method. The results will indicate what are the factors that have significant positive effect on the intention of the elderly people in using smart wearable systems. © 2022 IEEE.;"elderly; elderly care; healthcare; smart home; smart wearable technology";Conference Paper;
Zeng F., Chen T.-L.;A study of the acceptability of smart homes to the future elderly in China;2022;Universal Access in the Information Society;0;"Doctoral Program in Design, College of Design, National Taipei University of Technology, Taipei, 10608, Taiwan; Academy of Design & Art, Hunan Institute of Engineering, Xiangtan, 411104, China; Department of Industrial Design, National Taipei University of Technology, Taipei, 10608, Taiwan";Smart homes provide the elderly with effective solutions in their own location. This research makes subtle adjustments to the ESHTAM through semi-structured interviews and a literature review and then obtains dimensions and questions for the questionnaire design on that basis. With the aid of quantitative questionnaires (185 pieces) and semi-structured interviews (12 persons), this paper discusses the acceptability of smart homes among the future elderly in China by considering them from the viewpoint of their users and by applying the ESHTAM and hypothesis verification. Using Wilcoxon’s signed rank test, Pearson correlation and the statistical methods of linear regression analysis, this work carries out data analysis. In terms of model application and assumptions, a significant positive correlation was found between Behavioral Intention and factors like Attitude to Use, Perceived Usefulness, Enjoyment, Satisfaction, Subjective Norms, and Compatibility. Moreover, there is a significant positive correlation between Attitude to Use and factors like Perceived Usefulness, Perceived Ease of Use, Security/Privacy, Education Degree, Income, and Familiarity with Smart Homes. There is a significant positive correlation between Attitude to Use and factors like Perceived Ease of Use, Self-Capability, Automation, and Universal Connectivity. There is a negative correlation between Affordability (price) and Behavioral Intention. There is also a negative correlation between Age and Attitude to Use, which means that it is feasible to apply the ESHTAM to the discussion on the acceptability of smart homes in the future among the elderly in China, with the difference available in the results obtained from the dimensions of Security/Privacy. With regard to the acceptability, the results show that the average scores and medians obtained from 9 out of the 13 dimensions are greater than 3, which shows that the elderly in China have a positive and open attitude toward smart homes in the future. The average scores obtained from the other 3 dimensions approach 3, and the median is equal to 3, which reflects their worries about the use of smart homes at present. The results obtained from the semi-structured interviews effectively confirm this result. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.;"Acceptability; Active aging; Future seniors; Smart homes; Technical acceptance model (TAM)";Article;
Aziz S., Nasir S.N.C.M.;Internet of things (IoT) and smart home technology in Malaysia: Issues and challenges for research in adoption IoT and latest technology for home building;2021;AIP Conference Proceedings;0;"Universiti Teknologi MARA, Kampus Sri Iskandar, Bandar Sri Iskandar, Perak, Malaysia; Universiti Malaysia Kelantan, Kampus Bachok, Bachok, Kelantan, Malaysia";The capability of the Internet of Things (IoT) to electronically meter, path and monitor objects in the physical world has encouraged a flow of innovation and interest from many industries. It's probable to driving, chaotic changes across many sector offerings a myriad of potential services and applications. Smart home service, one of the symbolic developing technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. This paper is division of current the author's research on the adoption of IoT application for home building in Malaysia. The data and information presented in this paper were gathered from the reviews of the available relevant literature related to IoT and smart home in Malaysia. This paper addresses the major concern and challenges in IoT and smart home in Malaysia. Based on the analysis, it was found that three main challenges cited in the literature are perception of usefulness, confidentiality and privacy of consumer data, and absence of enterprise IoT applications in the country. As for Iot and smart home technology improvement in the near future, suggested tackling the current issues on home online education and working from home (WFH) especially because of the problematic pandemic Covid-19 worldwide. © 2021 Author(s).;;Conference Paper;
Peng M., Zhao C., Wei S.;Research on design methods of household products in the age of artificial intelligence based on ecological perspective;2021;Fresenius Environmental Bulletin;0;"School of Art and Communication, Beijing Technology and Business University, Beijing, 102488, China; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China; Chinese Academy of Geological Sciences, Beijing, 100037, China";In the 21st century, Internet technology has developed rapidly. The research and application of deep learning technology combined with the development of Internet technology has promoted the rapid development of artificial intelligence and developed various intelligent products. With the research and application of 5G technology in communication technology, the application scope of Internet of Things technology of Everything is fully explored. Home products that are closely related to people's lives are an area where intelligent technology is widely used. This paper analyzes the important factors in the design process of smart home products with the idea of overall design, and draws the design method of home products in the era of artificial intelligence. Orientation, that is, the concept of the overall design is added on the basis of the people-oriented thinking, and the design and analysis of the intelligent products in the family are carried out from the whole of the family environment, thereby forming the interconnection of various products in the family environment and between the intelligent home products and the users. The interactive connection, while providing intelligent and comprehensive services based on the data collection and analysis technology of intelligent products, helps users to obtain a better life. © 2021 Parlar Scientific Publications. All rights reserved.;"Intelligent services; Overall design; Product interconnection; Smart home products";Article;
Sharma B.K., Kuknor S.C.;Smart Homes adoption in India-Value-based Adoption Approach;2021;2021 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2021;0;Symbiosis Institute of Business Management Pune, Symbiosis International (Deemed University), Pune, India;Due to the emergence of technology, smart homes will be the next big thing in India. The study adopted a Value-based Adoption Model (VAM) to predict the consumer intention to use smart homes services in India. We used three constructs to measure the sacrifices and benefits: Privacy risk, Technicality, perceived fees, usefulness, social inclusion, and status symbol. The effect of perceived value on Intention to use smart homes was predicted. The construct adopted from the previous studies was used to develop a structured questionnaire. We sent an electronic questionnaire to 98 respondents who were mostly aware of the technology of smart homes. The empirical model was tested by multiple linear regression with the help of SPSS software. The study concluded that the usefulness, perceived fees, and status symbol determine the perceived value, and perceived value successfully determining the Intention to use smart home services. © 2021 IEEE.;"Intention to use; Perceived fees; Perceived value; Privacy risk; Smart Homes; Social inclusion; Status symbol; Technicality; Usefulness; Value-based Adoption model";Conference Paper;
Zhanying Z., Yingying D.;IoT Data Acquisition Terminal Based on Raspberry Pi;2021;Proceedings - 2021 International Conference on Intelligent Computing, Automation and Systems, ICICAS 2021;0;Tianjin Normal University, Department of Computer and Information Engineering, Tianjin, China;In recent years, smart home technology has gained broader user acceptance. Besides contributing to private homes, these new technologies have the potential to complement classical public and commercial building automation. Based on Raspberry Pi and openHAB, this paper builds an intelligent gateway to solve the problems that most IoT devices in the market are heterogeneous and closed. The system can control light bulb remotely, support multiple protocols and support several functions such as weather, pushing email, etc. The test results and data analysis show that each function module of the system works normally. © 2021 IEEE.;"Internet of Things; openHAB; Raspberry Pi";Conference Paper;
Schröder T., Gewald H., Weeger A.;A research model to explain acceptance of speech therapy devices by senior aphasia patients;2021;Procedia Computer Science;0;Neu-Ulm University of Applied Sciences, Center for Research on Service Sciences (CROSS), Wileystr., Neu-Ulm, 89231, Germany;In addition to health-related impairments of age such as poor health, cognitive disorders, and frailty, aging people also face the risk of encountering situations that can lead to social exclusion and have significant negative consequences for their independence and quality of life. The home healthcare initiative intends to reduce healthcare costs, enhance healthcare quality, and increase patient independence. Information technologies like healthcare smart-home-solutions become a significant role in this effort. For these to be successful and ensure the users' acceptance, the focus must be on them. Although particularly older adults could benefit from eHealth, they often feel unable to use the technologies. Drawing on the technology acceptance model and health belief model, we seek to understand if older people would use smart-home-environments for home-based therapy. This paper presents a research model on eHealth adoption in a speech therapy context. © 2022 The Author(s).;"eHealth; Older Adults; Smart Speaker; Speech Therapy; Technology Adoption";Conference Paper;All Open Access, Gold
Tuglular T., Coskun D.E.;Behavior-Driven Development of Software Product Lines;2021;Proceedings - 2021 8th International Conference on Dependable Systems and Their Applications, DSA 2021;0;Izmir Institute of Technology, Turkey;Software product lines (SPLs) develop families of similar software products, which share a standard set of features, and they build in variety via optional features. That means customers can select features according to their needs and come up with a product configuration. Then the SPL is expected automatically to generate and test the software product for the chosen configuration. There are various SPL solutions for the automatic generation of software products, but those SPLs lack automatic testing of the generated product. To overcome this shortcoming, the SPL should automatically compose a test suite according to the selected features, automatically execute the test suite on the product, and automatically generate a test report delivered to the customer with the product. This paper proposes such an approach through behavior driven development. The proposed method is evaluated with a smart home SPL. © 2021 IEEE.;"acceptance test; software product line; test-driven development";Conference Paper;
Ravulakollu K.K., Rajput P.K., Varanasi A.;Acceptance: A Forgotten Dimension of Usability in Ambient Intelligent Environments;2021;2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021;0;"School of Technology Woxsen University, Hyderabad, Telangana, India; School of Computer Science University of Petroleum and Energy Studies, Uttarakhand, Dehradun, India";Ambient Intelligence plays a vital role in developing assistive technologies like smart homes, aiding disabled and elderly living, and emergency assistance and learning systems. As an evolving applied science criterion, Ambient Intelligence is taken to the next level by considering behavioural and humane aspects into day-to-day applications such as traffic, education and smart homes etc. Although recent progress has indicated significant breakthroughs in computational and cognitive directions, the Human-Computer-Interaction dimension is not effectively applied. Interaction principles such as accessibility, usability and learnability from the user acceptance aspect are not significantly explored. The embodiment of these principles can lead to effective usability by a potential user. Through this paper, the author would like to identify the significance of usability towards user acceptance for qualifiable ambience in intelligent environments. This paper presents the perspective-based reflection of the potential and younger user group validated against the correlation of user's educational backdrop and experience towards technological acceptance. Also, a novel philosophical/policy level phenomenon to determine the principles through which usability in such environments can be made acceptable is discussed. © 2021 IEEE.;"Ambient Intelligence; Human- Computer-Interaction; Smart Technologies; Usability; Usability Evaluation";Conference Paper;
Ayan O., Turkay B.;Factors Affecting the Adoption of Smart Home Systems in the Context of Technology Acceptance Model [Teknoloji Kabul Modeli Baglaminda Akilli Ev Sistemlerinin Benimsenmesini Etkileyen Faktörler];2021;Proceedings - 2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021;0;Istanbul Teknik Üniversitesi, Elektrik Mühendisli?i Bölümü, Istanbul, Turkey;Smart homes offer various services to the daily life of people and allow residents to control and manage home appliances remotely using a smartphone or tablet through an internet connection. Although smart homes have many advantages, the adoption smart homes by individuals still does not meet expectations. For this reason, this study aims to investigate the factors affecting the adoption of smart home systems based on the extended Technology Acceptance Model (TAM). To achieve this purpose, an internet survey was conducted in Turkey. Data (N = 386) collected from the survey were analyzed using multivariate regression analysis and exploratory factor analysis. According to the results of exploratory factor analysis and reliability analysis, it was seen that 40 items were gathered under 13 factors as predicted. In addition, as a result of multivariate regression analysis, 11 out of 14 hypotheses were accepted while 3 hypotheses were rejected. © 2021 IEEE.;"innovation diffusion; internet of things; smart home systems; smart homes; technology acceptance model";Conference Paper;
Etinger D., Jeger L., Babi? S.;The Acceptance Factors of Smart Home Technologies: The Case of Croatian Households;2021;Lecture Notes in Networks and Systems;0;"Faculty of Informatics, Juraj Dobrila University of Pula, Zagreba?ka 30, Pula, 52100, Croatia; Business Department, Polytechnic of Rijeka, Vukovarska 58, Rijeka, 51 000, Croatia";Smart home technologies are becoming increasingly popular by providing a quality lifestyle to its residents. Due to communication between various sensors and devices, the smart home allows complete connectivity and control wherever the household members are. It provides its residents a simplification of daily responsibilities and household chores by adapting it to specific needs. The smart home also provides great economic savings by reducing utility bills. However, the high price of the devices themselves continues to deter their future users, especially in Croatia. The main goal of this paper was to examine the smart home technologies users about their familiarity with smart home solutions and to identify the acceptance factors, especially trust and security factors. The results of the research conducted in this paper can serve as supporting information about smart home solutions acceptance. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.;"Acceptance; Security; Smart home; Trust";Conference Paper;
Oyinlola Ayodimeji Z., Janardhanan M., Marinelli M., Patel I.;Adoption of Smart Homes in the UK: Customers’ Perspective;2021;Lecture Notes in Mechanical Engineering;0;School of Engineering, University of Leicester, Leicester, L17RH, United Kingdom;A smart home, also referred to as connected homes, is a house equipped with sensors that enable its occupants to remotely control home devices and appliances. Smart homes have security benefits, health benefits and allows its user to manage energy efficiently. However, despite the numerous benefits of smart home devices, the number of people using smart homes devices in the UK is low. Therefore, this research aims to investigate the factors that affect the adoption rate of smart homes in the UK from the customer’s perspective using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A quantitative research method was employed for this study and primary data was collected by snowball sampling through an online survey. 53 responses were collected and analysed using appropriate software. Findings show that the UTAUT constructs (performance expectancy, effort expectancy, social influence and facilitating conditions) influence the behavioural intention of customers to adopt smart homes as well as the actual level of usage. A regression analysis was also carried out to check the influence of moderating factors like the age, gender and smart home awareness on the developed UTAUT model. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.;"Smart home; Technology acceptance model; UK; User perception";Conference Paper;
Amraoui N., Zouari B.;An ML Behavior-Based Security Control for Smart Home Systems;2021;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);0;Mediatron Laboratory, Higher School of Communications of Tunis, Ariana, Tunisia;Smart Home Systems (SHSs) automation platforms are now enabling users to automate the control of their SHS devices by installing autonomous third-party applications (called SmartApps). However, intentional/unintentional issues would make SmartApps deviate from their expected behavior, putting the SHS owner’s security at risk. To address this issue, in this paper, we introduce an ML behavior-based approach to prevent malicious control of SHS devices by misbehaved SmartApps. To do so, control commands issued by the SmartApps during regular operation are captured to build a One-Class Support Vector Machine (OCSVM) model as a baseline for each installed SmartApp. Then, anomalous commands (i.e., outlier data points) should be detected and rejected, while normal commands (i.e., inlier data points) are allowed to be executed. Through an experimental evaluation conducted on an adapted SHS automation history, our proposed approach exhibits low false acceptance and rejection rates. © 2021, Springer Nature Switzerland AG.;"Anomaly Detection (AD); Home Automation; Internet of Things (IoT); Intrusion detection; Smart Home Systems (SHS); User and entity behavior analysis (UEBA)";Conference Paper;
Shanthana Lakshmi S., Deepak Gupta;The Smart Set: A Study on the Factors that Affect the Adoption of Smart Home Technology;2021;Lecture Notes in Networks and Systems;0;Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore, India;The integration of Artificial Intelligence with Smart Technologies, which entails automated solutions to common and important global challenges, holds a promising future in India. Smart Home technology permits for well-organized monitoring and control of Smart Home devices. AI integration with home automation has accelerated the pace for Smart Home adoption among house and apartment owners. However, the scholarly research aimed at understanding the user’s acceptance of Smart Home technology is surprisingly limited. With the booming market for Smart Home products in India in mind, our study investigates the major factors that affect the adoption of Smart Home technology. The study also aims to understand the influence of environmental centric attitude of consumers on their intent to embrace Smart Home technology. By extending the UTAUT2 (The unified theory of acceptance and use of technology) model, this research integrates other factors such as trustworthiness, psychological risk, tech-savvy and energy conservation attitude of users to understand the purchase intention of residents. Ordered logistic regression is applied to data collected from a pan-India sample of 148 respondents. The result shows that performance expectancy and trialability along with trustworthiness and tech-savvy attitude has a significant influence in affecting the user’s adoption of Smart Home technology. Additionally psychological risk and environmental concern attitude of user’s negatively influences the purchase intention of residents. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.;"Energy conservation; IOT; Smart home adoption; Smart homes; UTAUT2";Conference Paper;
Moreira R., Reis J.L., Teixeira S.;Study on the perception of diy in domotics in portugal;2020;Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao;0;"Iscap, Portugal; Ismai - Maia Institute University/CEOS.PP/ISCAP/P.PORTO, Portugal; CEOS.PP/ISCAP/P.PORTO, Portugal";The growth of the home automation market depends on technological innovations, rapid evolution of the Internet of Things and Do-It-Yourself (DIY) solutions. This project analysed the perception about domotics related to DIY in Portugal, intending to understand if smart home technologies are used and valued, which factors motivate their acquisition, their purpose and the advantages perceived by users. A questionnaire was used to collect data, resulting in an exploratory study based on data from a convenience sample. The model to evaluate this study was based on the constructs based on Technology Acceptance Models - TAM. From the results obtained, it was concluded that the respondents have a positive perception about domotics and its usefulness faced with DIY on the technologies that make a smart home. Regarding the acquisition and installation of technologies associated with home automation on their own, the respondents are divided, as half consider that they can do it autonomously and the other half only with the intervention of specialists in home automation. © Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao 2020.;"Do-It-Yourself (DIY); Domotics; Home automation; Smart home technologies";Conference Paper;
Mamonov S., Benbunan-Fich R.;Unlocking the smart home: An examination of factors influencing smart lock adoption intention;2020;32nd Bled eConference Humanizing Technology for a Sustainable Society, BLED 2019 - Conference Proceedings;0;"Montclair State University, Feliciano School of Business, Montclair, United States; Baruch College, Zicklin School of Business, New York, United States";Smart home technologies are a growing trend, yet little is known about factors that drive their adoption, given the spectrum of potential functional, experiential and esthetic benefits they offer. To address this gap in research, we explore the factorial structure of salient perceived benefits and concerns associated with smart locks, and we examine the effects of the emergent factors on the adoption intention. We find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-a-vis conventional locks in providing safety and security is significantly correlated with adoption intention. Our results indicate that this perceived relative advantage is a critical consideration in the adoption of smart home technologies that replace existing solutions. Copyright © 32nd Bled eConference Humanizing Technology for a Sustainable Society, BLED 2019 - Conference Proceedings. All rights reserved.;"Adoption intention; Influencing factors; Privacy; Security; Smart home technology";Conference Paper;All Open Access, Bronze, Green
de la Guía E., López V., Olivares T., Orozco L., Lozano M.D., Penichet V.;Wearable interaction and home automation to improve the patient wellness study of perceived benefits;2019;ACM International Conference Proceeding Series;0;Albacete Research Institute, Informatics Computer Science Research Institute, University of Castilla-La Mancha, Spain;"The concept of Health Smart House aims at giving an autonomous life, in their own home, to people who suffering from a chronic disease, older, handicapped people, etc. However, developing a smart health system for home is a challenge. A long-term, it must meet the specific needs of any user. In addition, it must provide the most important daily services. That is, to design and develop smart health system is important to know patients' needs and the point of view of caregivers, doctors, nurses, etc. In this paper, we have based on a smart-home environment that use home automation and tangible and wearable interaction to improve the patients' quality of life. In order to know the point of view the patients, caregivers, doctors, etc. We have conducted an expert survey to identify challenges and advantages in home automation and system interaction. The survey is divided into three sections: the patients' load cognitive using the system; the most useful variables related to data gathering through sensors, and the system social acceptance. Thanks to the results obtained, we contribute to a better understanding about important factors in healthcare, home automation and user interaction. © 2019 Association for Computing Machinery.";"Data gathering; Healthcare survey; Home automation; Internet of Things; Load cognitive; Tangible user interaction; Wearables";Conference Paper;
Wright D.;Smart Home Technology Adoption and Learning;2019;IEEE International Professional Communication Conference;0;Missouri University of Science and Technology, United States;Smart home products continue to rise in popularity but have yet to achieve widespread adoption. There is little research on how the general population perceives benefits of different smart home devices beyond general surveys. Using a living laboratory of five solar houses that we equipped with a range of smart home devices, we assessed how university student residents learn about, use, and gain interest in adopting this smart home technology. Analysis of data confirms that users find lifestyle benefits to be the most important motivators for adopting smart home technology. Yet without training in using that technology these benefits do not outweigh the risks associated with learning to operate that technology. © 2019 IEEE.;"Smart homes; society and technology; technology diffusion; technology training.";Conference Paper;
Mamonov S., Benbunan-Fich R.;Unlocking the smart home: An examination of factors influencing smart lock adoption intention;2019;25th Americas Conference on Information Systems, AMCIS 2019;0;"Information Management and Business Analytics Department, Feliciano School of Business, Montclair State University, United States; Paul H Chook Department of Information Systems and Statistics, Zicklin School of Business, Baruch College, CUNY, United States";The adoption of smart home technologies is a growing trend in modern society. While various smart home technologies promise many potential benefits, such technologies can also expose the adopters to new information privacy and security risks. Relatively little is known about the salient factors that affect the adoption intention of the ambivalent smart home technologies that offer a range of benefits, but also entail risks. To address this gap in research, we explore the factorial structure of salient perceived benefits and concerns associated with smart locks. We examine the effects of the emergent factors on the adoption intention and we find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-a-vis conventional locks in providing safety and security is significantly correlated with adoption intention. Our results indicate that this perceived relative advantage is a critical consideration in the adoption of smart home technologies that replace existing solutions. We also find that while the potential adopters voice concerns about privacy and security in relation to smart locks, these factors have no statistically significant effect on the adoption intention. © 2019 Association for Information Systems. All rights reserved.;;Conference Paper;All Open Access, Bronze, Green
Cannizzaro S., Procter R., Ma S., Maple C.;Adoption and acceptability of smart devices for the home;2019;IET Conference Publications;0;"WMG, Computer Science, University of Warwick, Coventry, United Kingdom; Computer Science, University of Warwick, Coventry, United Kingdom; Alan Turing Institute, London, United Kingdom; WMG, University of Warwick, Coventry, United Kingdom";There are expectations that the market for smart home devices in Europe will triple by 2023. If this growth is to be realised, it is important for providers to understand the considerations and issues for adoption and acceptance of such technologies. In this paper, we address this by reporting results from a nationally representative survey of a sample of 2101 British consumers to measure adoption rates through experience of use and acceptability attitudes, through trust, risk awareness, satisfaction and intention to use smart home devices in the future. We interrogated the survey responses based on key influential demographics such as gender, age and education. Overall, we found that males have a slightly more favourable attitude towards smart home devices than females, that younger people are more likely to hold favourable attitudes towards smart home devices than older people, and that people with primary and secondary education levels are the least interested in smart home devices. It was also ascertained that trust was negatively correlated with being female, and positively correlated with age and education. For education, higher trust was linked to lower risk awareness. This research outlines social divides in smart home devices adoption and raises questions about what kind of business models or policy interventions may be required to level these adoption challenges. © 2019 Institution of Engineering and Technology. All rights reserved.;"Acceptability; Adoption; Nationally representative survey; Smart home devices; Trust";Conference Paper;
van Heek J., Himmel S., Ziefle M.;Living with disabilities – the many faces of smart home technology acceptance;2018;Communications in Computer and Information Science;0;Human-Computer Interaction Center, RWTH Aachen University, Aachen, 52074, Germany;To face the challenges of increasing care needs due to demographic change, the development of smart home and Ambient Assisted Living (AAL) technologies present one approach, which is continuously forwarded. Besides aspects of technical development and implementation, user acceptance of diverse stakeholders plays a major role for a successful rollout and sustainable adoption of those technologies. So far, user acceptance research in this context has concentrated mostly on age-related issues. In contrast, disabilities and related care needs have hardly been researched yet. The current study focused on persons having different experiences with disabilities and care needs. In a qualitative interview pre-study (n = 9) and a follow-up quantitative online questionnaire study (n = 279) perceived benefits and barriers, use conditions, and acceptance of AAL technologies were contrasted. Four user groups were under study: disabled participants, relatives of disabled persons, professional caregivers, and, as a control group, persons without experience with disabilities. Results indicate that disabled and care-needy people show a higher acceptance and intention to use an AAL system than not-experienced people and especially professional caregivers. The motives for acceptance and rejection differ strongly regarding user diversity as well. The results contribute to a better understanding of user-specific acceptance of smart home and AAL technologies and show that the integration of diverse user groups into the technologies’ design and evaluation process is necessary. © 2018, Springer International Publishing AG, part of Springer Nature.;"Ambient assisted living (AAL); Experience with disabilities; Needs of assistance and care; Smart home technologies; Technology acceptance; User diversity";Conference Paper;
Taing C.-M., Rau P.-L.P., Huang H.;Handpad: a virtual mouse for controlling laptops in a smart home;2017;Human-centric Computing and Information Sciences;0;Tsinghua University, Beijing, China;This study investigates the possibilities of equipping fixed furniture with touch screens to control laptops or other smart home devices, to create a holistic smart home control system. Although multi-touch screens have recently been integrated into desktop use, most users prefer a classical mouse for desktop input. This study introduces Handpad, which is a new indirect touch input device designed to control laptops in a smart home. Handpad combines the mobility of a touch screen with the precision of a mouse by tracking whole-hand movement on the touch screen and moving the screen pointer accordingly. In a user test, participants showed a high level of acceptance and positive attitudes toward Handpad. © 2017, The Author(s).;"Handpad; Input device; Mouse; Smart home; Touch screen";Article;All Open Access, Hybrid Gold
Choudhry K., Khan S.A.;Designing Acceptance Test Procedures (ATPs) for smart nano grid applications;2016;Proceedings - AIMS 2015, 3rd International Conference on Artificial Intelligence, Modelling and Simulation;0;Department of Computer Engineering, National University of Sciences and Technology, Islamabad, Pakistan;Few companies in developing countries are now claiming to provide Smart Nano Grid Applications which can help the smart home residents get a reliable, cost effective and uninterrupted power supply. As the technology of Smart Nano Grid is an emerging technology comprising the features of Smart Grids and Nano Grids, no significant work has been done for providing guidance on acceptance testing procedures. As a result, these companies feel it complicated to test these applications from the user's perspective. Furthermore, the majority of the consumers doesn't have any criteria to determine whether or not accept the system. This paper presents a complete Acceptance Test Procedure to assist the companies developing Smart Nano Grid Applications to test these applications according to end user perspective. © 2015 IEEE.;"Acceptance testing procedures; Nanogrid; Smart grid; Smart home; Test Cases";Conference Paper;
Chung J.;The role of culture in adopting smart home technologies;2016;Handbook of Smart Homes, Health Care and Well-Being;0;College of Nursing, University of New Mexico, Albuquerque, NM, United States;"With the increased attention to independent living and healthy aging, smart home technologies are widely adopted in various communities. Technology adoption is a first step to successful diffusion of proven technologies; however, there are still challenges to the adoption of smart home technologies among older individuals or people with disabilities who are a main target user group. Also, there is a growing interest in using smart home technologies in various cultural groups in Western countries and the developing world. However, we do not know what factors influence user perceptions of and preferences for smart home technologies in these diverse populations. There is a need for examining the role of cultural context in the acceptability of smart home technology. This chapter proceeds as follows. Definitions of culture and national cultural theories are reviewed. The technology acceptance models and their limitations are discussed in the context of culture and smart home technology. This chapter reviews studies that examine the relationship of cultural factors and technology acceptance in general IT field and health-related disciplines. Then we present a case study as an exemplar to show how the context of culture can be critical to the successful adoption of smart home technology. Finally, recommendations for future work are provided. © Springer International Publishing Switzerland 2017.";"Culture; In-home sensors; Smart homes; Technology adoption";Book Chapter;
Kuebel H.;Designing for platform dominance - An expert assessment of technological performance as an adoption determinant in the smart home field;2016;Multikonferenz Wirtschaftsinformatik, MKWI 2016;0;Technische Universitaet Berlin, Department of Information and Communication Management, Germany;Smart Home (SH) technologies have been around for more than three decades, designed to enhance the comfort, convenience, security, entertainment, healthcare, education and communication of people in their homes. Despite continuing waves of enthusiasm the SH market has remained a niche ever since. However, recent trends, including the digitalization of societies, price declines in microelectronics, ubiquitous computing and broadband connectivity, have reignited the hopes in the establishment of common SH service platforms across converging industries. In this light, the present study examines to what extent the technological performance of such platforms determines their wide-spread adoption. A qualitative content analysis based on interviews with 21 industry experts from 19 companies active in the SH field is conducted that identifies, describes and ranks relevant technological properties of SH platforms. Revealing extendibility, usability, functionality and flexibility as the most critical performance dimensions in the current market phase, the study provides managerial implications for platform design and guidance of potential users' purchase decisions.;;Conference Paper;
Vannieuwenborg F., Van Ooteghem J., Ongenae F., Verstichel S., Verbrugge S.;Integration of cloud based eCare services: A multidisciplinary challenge;2014;Proceedings - IDPHA 2014: Interdisciplinary Design of Pervasive Healthcare Applications;0;Dept. of Information Technology, Ghent University - iMinds, Ghent, Belgium;Due to changes in the demographic situation of most Western European countries, interest in ICT supported care services grows fast. eCare services are believed to be cost-effective and could lead to an increased quality of life of both care receiver and (in)formal care giver. Currently adoption and integration of these services is slowed down by several barriers such as an unclear added value, a lack of regulations or a sustainable financial model. In order to understand the interactions between political, market related and technological forces, as sources of these barriers, collaboration between all actors involved in eCare service development (user and technological research groups, care organizations, technological partners, techno-economic research groups, etc. ) is needed. In this paper various tools and methodologies, applied in the iMinds OCareClouds project, are discussed that foster collaboration and allow identification and understanding of the different forces. Copyright © 2014 ICST.;"ECare services; Multidisciplinary approach; Service integration and adoption; Smart home care platform";Conference Paper;All Open Access, Bronze, Green
Hemalatha T., Venkat Bhargava P., Akhil Reddy L., Ravi Teja K.;A review on smart home technology to succor elderly people;2014;International Journal of Applied Engineering Research;0;"Department of CSE, K L University, India; CSE Branch, K L University, India";In the last decade, the number of elderly population has increased significantly which affects human in many aspects, especially in healthcare. Many studies have shown increases in expenditures on long-term care. New models of care are needed including supported self-care and home-based services. A smart home is a residence equipped with smart technologies providing services that enhance human way of living i.e. safety, security, entertainment, etc would allow elderly to maintain living independently in their homes and still in control of their healthcare cost and status. As an enabler of health and wellbeing enhancement, smart homes have been geared to accommodate people with special needs, especially older people. This paper examines the concept of “smart home” in a technologically driven society and its multi-functional contribution to the enhancement of older people’s lives. Aging populations are more vulnerable to illness, higher hospitalization rates and prevalence of health risk factors whilst for many elderly in rural and remote areas access to existing health care is relatively limited. This has resulted in greater need for health and disability support in the future, placing increased pressure on aged care and health services. These changes have necessitated the need for strategies and policy initiatives to promote productive aging and maximize the capacity for home-based care. This paper firstly reviews the concept of “smart home” and its perceived multi-functional contribution to the enhancement of older people’s lives. © Research India Publications.;"Acceptance of technology; Accessibility; Activity recognition; Disabilities; Health and wellbeing; Home automation; Lifestyle; Older people; Positive aging; Smart home; Smart home technologies; Smart projects";Article;
Manresa-Yee C., Ponsa P., Arellano D., Larrea M.;An avatar acceptance study for home automation scenarios;2012;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);0;"UGIVIA, Math. and Computer Science Department, Universitat Illes Balears, Crta. Valldemossa, km. 7.5, Palma, Spain; Automatic Control Department, Barcelona Tech. Unviersity, EPSEVG, Av. Victor Balaguer s/n, 08800 Vilanova i la Geltrú, Spain; Laboratorio de Investigacion Y Desarrollo en Visualizacion Y Computacion Grafica (VyGLab), Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, Argentina";In this paper we present a graphical user interface (GUI) for home automation which includes an avatar interface as a help-system. The work aims at analysing the user-home automation system interaction to model the user control over the system and the level of assistance required. We have developed high-fi prototypes to test the avatar-based help system with incremental functionalities embedded in the home GUI. Preliminary results suggest the acceptance of the system and its use in share control systems in smart and assistive home scenarios. © 2012 Springer-Verlag.;"Avatar; Emotion; Home Automation; Usability";Conference Paper;
Barrientos J., Soar J., Su Y.;Impact analysis of assessment, consultation and education services to support the adoption of smart home technologies, innovations for chronic disease prevention and solutions for independent living;2012;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);0;"LifeTec Queensland, PO Box 3241, Newmarket, QLD 4051, Australia; School of IS, Faculty of Business and Law, University of Southern Queensland, 4350, Australia; Institute of Scientific and Technical Information of China, 15 Fu Xing Rd, Beijing 100038, China";"Aims: To review the impact of the services of LifeTec, a NFP (not-for-profit) state-wide community-funded provider of assessment, consultation and education services to support the adoption of smart home technologies, innovations for chronic disease prevention and solutions for independent living. Methodology: a review of service data collected by LifeTec and independently evaluated Findings: LifeTec and other similar ILCs (Independent Living Centres) in Australia and other countries, provide an assessment, consultation and education service that is critical for people with disabilities, the frail aged and others needing support. The services are accessed by consumers, their families, care provider organisations, clinicians and educators; the needs for these services are far greater than currently-funded capacity and there will be a need for greater capacity as baby-boomers move into the ages when needs for support will spiral upwards. Summary: The disability support and aged care sectors have not to date taken advantage of assistive and other relevant technologies; there is a massive unmet need for greater support and a significant level of issues that are not addressed. There will need to be a significant increase in funding of ILCs to meet both existing needs as well as to surge at appears to be changing and there is now significant investment in clinical systems and other systems to assist staff in providing care. © 2012 Springer-Verlag.";"aged care; assistive technology; disability support; independent living; information technology; seniors; workforce";Conference Paper;All Open Access, Green
Baden H.;Gas Smart Metering gets increasing signifi cance [Gas Smart Metering gewinnt an Bedeutung];2011;GWF, Gas - Erdgas;0;HBM Management Services, Höhr-Grenzhausen, Germany;"The 'Internet of things' perceptible takes shape; more and more products are getting communicative. Although the subarea 'Internet of Energies' is emerging in this fi eld, partly being a driving force it is depending on the advancement of other areas of life becoming smart. In particular the core area smart metering will not get consumer acceptance until coherence with other appliances is visible, showing the imaginary and emotional benefi ts of transparency on energy usage. The future of our economic status is based in the chain of Smart Meter - Smart Home - Smart Building - Smart Grid. In times of resources running short we have to redefi ne energy production, distribution and usage. The gas smart grid gets the important role of an energy repository. Electricity overrun will be converted to gas and used on power gaps by combined heat and power generation (CHP) to produce thermal heat and electricity again. The reissue of the fi gawa/gwf-Seminar ""Smart Metering - Positions and Solutions of the Gas Industry"" held on the October 28th 2010 at Munich, obviously show the high dynamics on development of this topic.";;Article;