CHI 2006 Workshop on

Privacy-Enhanced Personalization

22 April 2006, Montréal, Canada






Student Support


Important Dates:

Workshop Date:
22 April 2006

Submission deadline:
6 January 2006

Author notification:
27 January 2006

Camera-ready due:
31 March 2006


The workshop will look at, 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?

This workshop is supported by the UC Irvine Institute for Software Research (ISR) and NSF.

Last modified: February 6, 2006