June 9, 2018 Conference paper Open Access

Shulman, Yefim

MARC21 XML Export

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    <subfield code="a">Decision making</subfield>
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    <subfield code="a">Privacy</subfield>
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    <subfield code="a">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</subfield>
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    <subfield code="d">3-8 September 2017</subfield>
    <subfield code="a">12th International IFIP Summer School on Privacy and Identity Management</subfield>
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    <subfield code="u">Tel Aviv University</subfield>
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    <subfield code="a">Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures</subfield>
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    <subfield code="c">675730</subfield>
    <subfield code="a">Privacy and Usabiliy</subfield>
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    <subfield code="a">&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;</subfield>
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