Conference paper Open Access

Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures

Shulman, Yefim


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Over the last decades, people&rsquo;s behaviour and attitudes towards privacy have been thoroughly studied by scholars, approaching the issue from different perspectives. To address privacy-related decisions, it is necessary to consider aspects of human cognition, employing, for instance, methods used in Human-Computer Interaction and Information Science research. This paper analyses findings and contributions of existing privacy decision-making research, and suggests filling gaps in current understanding by applying a cognitive architecture framework to model privacy decision-making. This may broaden the range of factors and their relationships that can be integrated into the models of privacy decisions, beyond those in existing decision models.</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Tel Aviv University", 
      "@id": "https://orcid.org/0000-0002-3163-9726", 
      "@type": "Person", 
      "name": "Shulman, Yefim"
    }
  ], 
  "sameAs": [
    "https://doi.org/10.1007/978-3-319-92925-5_12"
  ], 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-06-09", 
  "url": "https://zenodo.org/record/1321890", 
  "headline": "Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures", 
  "keywords": [
    "Decision making", 
    "Privacy", 
    "Model", 
    "Cognitive architectures", 
    "ACT-R"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.1321890", 
  "@id": "https://doi.org/10.5281/zenodo.1321890", 
  "@type": "ScholarlyArticle", 
  "name": "Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures"
}
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