June 9, 2018 Conference paper Open Access

Shulman, Yefim

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  <identifier identifierType="DOI">10.5281/zenodo.1321890</identifier>
  <creators>
    <creator>
      <creatorName>Shulman, Yefim</creatorName>
      <givenName>Yefim</givenName>
      <familyName>Shulman</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3163-9726</nameIdentifier>
      <affiliation>Tel Aviv University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Decision making</subject>
    <subject>Privacy</subject>
    <subject>Model</subject>
    <subject>Cognitive architectures</subject>
    <subject>ACT-R</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-06-09</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="doi">10.1007/978-3-319-92925-5_12</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1321890</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1321889</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Over the last decades, people&amp;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.&lt;/p&gt;</description>
    <description descriptionType="Other">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</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/675730/">675730</awardNumber>
      <awardTitle>Privacy and Usabiliy</awardTitle>
    </fundingReference>
  </fundingReferences>
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