Who wants to know what when? privacy preference determinants in ubiquitous computing

  • Authors:
  • Scott Lederer;Jennifer Mankoff;Anind K. Dey

  • Affiliations:
  • University of California, Berkeley, CA;University of California, Berkeley, CA;Intel Research, Berkeley, CA

  • Venue:
  • CHI '03 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2003

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Abstract

We conducted a questionnaire-based study of the relative importance of two factors, inquirer and situation, in determining the preferred accuracy of personal information disclosed through a ubiquitous computing system. We found that privacy preferences varied by inquirer more than by situation. That is, individuals were more likely to apply the same privacy preferences to the same inquirer in different situations than to apply the same privacy preferences to different inquirers in the same situation. We are applying these results to the design of a user interface for managing everyday privacy in ubiquitous computing.