22 April 2006
6 January 2006
27 January 2006
31 March 2006
The workshop will look at, e.g., the following questions:
- 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?
- 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?
- 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?
- If privacy decisions
are impaired by limited information and bounded rationality, how can we
help people make better choices?
- In this context, what
is the status of "privacy preferences"?
- How much can we benefit
from anonymity or pseudonymity infrastructures and trusted third parties,
and are there limits that should be observed?
- Are distributed user
models an answer or a problem from a privacy perspective?
- Does personalization
in mobile and ubiquitous computing contexts pose additional
challenges? How can they be overcome?
- Is client-side personalization
a possible answer to privacy concerns and legal restrictions? What technical,
legal and business obstacles will have to be overcome?
- What should an ideal
legal framework look like from the perspective of privacy-enhanced personalization?