We invite submissions regarding empirical studies of the following aspects.
emotion and preference of users in the face of modeling related tools and activities
stress, load, and performance involving modeling activities and artifacts
communicative and cognitive strategies and styles connected to modeling activities
training and testing of modeling, modeling tools, and related practices
capabilities and competencies
team and group behaviour, including behavior across (social) media
Other topics that fit into the general frame of this workshop are also welcome.
We solicit three types of submissions that each have their specific quality and review criteria.
Empirical Study: Papers that present research results of empirical studies of human factors in modeling. This includes replication studies, negative results, and ??in the classic style, of workshop papers by presenting a novel approach that prioritizes interesting ideas over (consolidated results???) We want to encourage contributors to not just submit a paper presenting their work, but also the raw data and data analysis scripts.
Study Design: Papers that motivate, describe, and evaluate study designs. They will be evaluated based on the quality of the study design alone, i.e., whether the reviewers deem them promising to obtain meaningful, valid, and interesting results. No actual study or study results are expected. This kind of submission may be considered a community-shepherding process similar to what is common in the patterns community.
Empirical Theory: Papers that contribute to or develop a theory of some aspect of a human factor relevant in modeling. No empirical validation is required, but a thorough analysis of the existing work from all relevant fields (i.e., including e.g., psychology, sociology, philosophy and more as appropriate).
All types of submissions should follow the ACM B style, and have between 6 and 8 pages in length and should mark in their title clearly, to which category they pertain. All accepted submissions will be discussed openly and at length in the workshop. We particularly encourage researchers that need to design a study but lack experience in this field to come forward and present study designs so these may be discussed and improved, leading to better quality research.
Since modeling is an intrinsically human enterprise, many of the questions related to modeling can only be answered by empirical studies employing human factors. This new workshop series aspires to become a venue for early stage empirical research involving human factors in modeling. Our goal is to improve the state of the science and professionality in empirical research in the Model Based Engineering community. Typical examples of such questions might consider the usability of a certain approach such as a method or language, or the emotional states or personal judgements of modelers.Read more