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Alfred Kobsa <[log in to unmask]>
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Alfred Kobsa <[log in to unmask]>
Tue, 27 Dec 2005 11:49:28 +0100
text/plain (107 lines)
Workshop website:

 >> Submission deadline: Jan. 6, 2006 <<

Personalizing people's interaction with computer systems entails  
gathering considerable amounts of data about them. As numerous recent  
surveys have consistently demonstrated, computer users are very  
concerned about their privacy. 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.

The workshop is intended for researchers and practitioners in the  
field of personalization systems and in the area of privacy and  
security, and specifically for people who are working at the  
intersection of both. The workshop participants will look at Privacy- 
Enhanced Personalization from an interdisciplinary perspective,  
including the areas of Human-Computer Interaction, Management  
Information Systems, and Economics. Participation from industry is  
strongly encouraged since the results will have direct implications  
on existing websites. It will discuss, e.g., the following questions:

1. How much personal data do individual personalization methods  
really need? Can we find out in advance or in hindsight what types of  
data contribute to reasonably successful personalization in a  
specific application domain, and restrict data collection to these  
types of data?
2. What are motivators for people to disclose personal information,  
and what motivators are present in what kinds of personalization? How  
can the presence of such motivating factors be conveyed to users?
3. If discrepancies between users' stated privacy attitudes and  
observed privacy behavior are rampant, what methods should be chosen  
under what circumstances to conduct empirical research on privacy?
  4. If privacy decisions are impaired by limited information and  
bounded rationality, how can we help people make better choices?
  5. In this context, what is the status of "privacy preferences"?
  6. How much can we benefit from anonymity or pseudonymity  
infrastructures and trusted third parties, and are there limits that  
should be observed?
  7. Are distributed user models an answer or a problem from a  
privacy perspective?
  8. Does personalization in mobile and ubiquitous computing contexts  
pose additional challenges? How can they be overcome?
  9. Is client-side personalization a possible answer to privacy  
concerns and legal restrictions? What technical, legal and business  
obstacles will have to be overcome?
  10. What should an ideal legal framework look like from the  
perspective of privacy-enhanced personalization?

The two-day workshop will be held on April 22 and 23 during the CHI  
2006 conference ( in Montréal, Canada. Two  
types of contributions are invited:
- Papers describing (ongoing) work on one or more of the topics for  
the workshop (8 page maximum)
- Position statements regarding one or more of the topics for the  
workshop (2 page maximum)

Submissions should be sent to [log in to unmask], [log in to unmask] and  
[log in to unmask] by 6 Jan. 2005. Each paper will be reviewed  
by at least two reviewers. Notification about acceptance or rejection  
will be sent out by Jan. 27. Accepted contributions will be published  
in the workshop proceedings and will be available on the Web before  
the workshop. Concrete steps for a post-conference publication have  
already been taken (namely a special magazine or journal issue or a  
book publication, depending on the nature and quality of the  
described work).

Workshop co-chairs:
Alfred Kobsa, University of California, Irvine, CA
Ramnath K. Chellappa, Goizueta Business School, Emory University
Sarah Spiekermann, Berlin Research Centre on Internet Economics
Program committee:
Alessandro Acquisti, School of Public Policy and Management, Carnegie- 
Mellon University
JC Cannon, Microsoft
Rahul Hampole, Shopzilla
Kay-Lung Hui, Department of Information Systems, National University  
of Singapore
Judy Kay, School of Information Technologies, University of Sydney
Ajay Nigam, VeriSign
John Riedl, Department of Computer Science, University of Minnesota

Limited funds are available from the U.S. National Science Foundation  
to support the participation of U.S.-based students and of U.S.  
citizens studying abroad. Travel grants will be assigned based on  
students' financial needs and the significance of their contribution  
to the workshop.

Additional information on this workshop is available at http://

Alfred Kobsa
University of California, Irvine

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