Proceedings of the tenth conference on Computers, freedom and privacy: challenging the assumptions
Communications of the ACM
E-privacy in 2nd generation E-commerce: privacy preferences versus actual behavior
Proceedings of the 3rd ACM conference on Electronic Commerce
Personalized hypermedia and international privacy
Communications of the ACM - The Adaptive Web
Privacy in electronic commerce and the economics of immediate gratification
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Impacts of user privacy preferences on personalized systems: a comparative study
Designing personalized user experiences in eCommerce
Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma
Information Technology and Management
Privacy practices of Internet users: self-reports versus observed behavior
International Journal of Human-Computer Studies - Special isssue: HCI research in privacy and security is critical now
Online information disclosure: Motivators and measurements
ACM Transactions on Internet Technology (TOIT)
What is your husband's name?: sociological dimensions of internet banking authentication
OZCHI '06 Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments
Personalization in multimodal interfaces
Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information
User identification for cross-system personalisation
Information Sciences: an International Journal
Proceedings of the 8th international interactive conference on Interactive TV&Video
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
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Consumer surveys show that online users value personalized content [5]. At the same time, providing personalization on websites seems quite profitable for web vendors [2, 6-8]. This win-win situation is however marred by privacy concerns since personalizing people's interaction entails gathering considerable amounts of data about them. As numerous recent surveys have consistently demonstrated, computer users are very concerned about their privacy on the Internet. Moreover, the collection of personal data is also subject to legal regulations in many countries and states. Both user concerns and privacy regulations impact frequently-used personalization methods. This workshop will explore the potential of research on "privacy-enhanced personalization," which aims at reconciling the goals and methods of user modeling and personalization with privacy constraints imposed by individual preferences, conventions and laws.