Conference paper Open Access

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

Shulman, Yefim

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1321890", 
  "language": "eng", 
  "title": "Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures", 
  "issued": {
    "date-parts": [
      [
        2018, 
        6, 
        9
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Shulman, Yefim"
    }
  ], 
  "note": "This is the final author's manuscript version. The final publisher's version is available at Springer via http://dx.doi.org/10.1007/978-3-319-92925-5_12", 
  "type": "paper-conference", 
  "id": "1321890"
}
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Publication date:
June 9, 2018
DOI:
10.5281/zenodo.1321890

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Keyword(s):
Decision making Privacy Model Cognitive architectures ACT-R
Grants:
European Commission:
  • Privacy.Us - Privacy and Usabiliy (675730)
Meeting:
12th International IFIP Summer School on Privacy and Identity Management, Ispra, Italy, 3-8 September 2017
Alternate identifiers:
10.1007/978-3-319-92925-5_12
License (for files):
Creative Commons Attribution 4.0 International

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