Conference paper Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <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="https://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"><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></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> </resource>
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