Conference paper Open Access

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

Shulman, Yefim


Citation Style Language JSON Export

{
  "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"
}
57
64
views
downloads
All versions This version
Views 5757
Downloads 6464
Data volume 31.0 MB31.0 MB
Unique views 4545
Unique downloads 5555

Share

Cite as