2005 · 21 citations · 7 references
ComputingCybersecurityPrivacy EngineeringSecurity PolicyWeb SecurityData ProtectionPrivacy CompliancePrivacy PolicyPersonal Information DisclosurePersonally Identifiable InformationPolicy ParsingPrivacyPrivacy Policy AnalysisUser Privacy Preferences
Website privacy policies state the ways that a site will use personal identifiable information (PII) that is collected from fields and forms in web-based transactions. Since these policies can be complex, machine-readable versions have been developed that allow automatic comparison of a site's privacy policy with a user's privacy preferences. However, it is still difficult for users to determine the cause and origin of conformance conflicts, because current standards operate at the page level - they can only say that there is a conflict on the page, not where the conflict occurs or what causes it. In this paper we describe fine-grained policy anchors, an extension to the way a website implements the Platform for Privacy Preferences (P3P), that solves this problem. Fine grained policy anchors enable field-level comparisons of policy and preference, field-specific conformance displays, and faster access to additional conformance information. We built a prototype user agent based on these extensions and tested it with representative users. We found that fine-grained anchors do help users understand how privacy policy relates to their privacy preferences, and where and why conformance conflicts occur.
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Building customer trust in mobile commerce
Keng Siau, Zixing Shen · Communications of the ACM · 2003 · 634 citations · Full text
Designing trust into online experiences
Ben Shneiderman · Communications of the ACM · 2000 · 431 citations · Full text
Social Sciences, Management Information Systems, Persuasion +4
Privacy policies as decision-making tools
Carlos Jensen, Colin Potts · 2004 · 400 citations