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Important Dates:
Workshop Date:
July 25, 2005
8:30am - 5:30pm
March 7, 2005
Submission deadline
April 7, 2005
Author notification
May 27, 2005
Camera-ready due
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PEP05 Program
| 8:30-9:15 INTRODUCTION |
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Organizational remarks
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Introduction of participants
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(Position Statement) Where Personalization, Privacy,
and Security Meet (Paper)
Chris C. Demchak1 and Kurt D. Fenstermacher2
1School of Public Administration and Policy and 2Management Information Systems, Eller
College of Management, University of Arizona, United States
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9:15-10:15 INVITED INDUSTRY TALK
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The Need for an Identity Meta-System
Caspar Bowden
Microsoft Chief Privacy Advisor for Europe, Middle East and Asia
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10:15-10:45 COFFEE BREAK
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10.45-12:30 USER STUDIES
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Perceived Control: Scales for Privacy in Ubiquitous Computing Environments (Paper)
Sarah Spiekermann
Institute of Information Systems, Humboldt University Berlin, Germany
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Privacy & Personalization: Preliminary Results of an Empirical Study of Disclosure Behavior
(Paper,
Slides)
Evelien Perik1, Boris de Ruyter2, Panos Markopoulos1
1Department of Industrial Design, Eindhoven University of Technology, The Netherlands
2Philips Research Eindhoven, The Netherlands
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Informed Consent to Address Trust, Control, and Privacy Concerns in User Profiling (Paper,
Slides)
Thea van der Geest, Willem Pieterson, and Peter de Vries
Department of Communication Studies, University of Twente, The Netherlands
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Discussion: Where to go next in user studies on privacy-enhanced personalization?
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12:30-1:30 LUNCH
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1:30-2:23 CATERING TO PRIVACY REQUIREMENTS
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A Software Product Line Approach for Handling Privacy Constraints in Web Personalization
(Paper,
Slides)
Yang Wang and Alfred Kobsa
Donald Bren School of Information and Computer Sciences, University of California, Irvine, United States
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Privacy and Security in Ubiquitous Personalized Applications (Paper)
Ajay Brar, Judy Kay
School of Information Technologies, University of Sydney, Australia
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2:23- 3:15 SELECTIVE ACCESS TO USER DATA
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A Single Sign-On Identity Management System Without a Trusted Third Party (Paper,
Slides)
Brian Richardson and Jim Greer
ARIES Laboratory, Department of Computer Science, University of Saskatchewan, Canada
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Intra-Application Partitioning of Personal Data (Paper,
Slides)
Katrin Borcea, Hilko Donker, Elke Franz, Katja Liesebach, Andreas Pfitzmann, and Hagen Wahrig
Dresden University of Technology, Germany
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3:15-3:45 COFFEE BREAK
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3:45 - 4:40 PRIVACY IN RECOMMENDER SYSTEMS
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Privacy-Enhanced Collaborative
Filtering (Paper,Slides)
Shlomo Berkovsky1, Yaniv Eytani1, Tsvi Kuflik2, Francesco Ricci3
1Computer Science Department and 2Management Information Systems Department, University of Haifa, Israel
3ITC-irst, Trento, Italy
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Privacy, Shilling, and The Value of Information in Recommender Systems (Paper)
Shyong K Lam and John Riedl
GroupLens Research, Department of Computer Science and Engineering, University of Minnesota, United States
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4:40-5:30 DISCUSSION: WHERE TO GO NEXT IN PRIVACY-ENHANCED PERSONALIZATION?
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