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User interfaces for privacy agents
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Source ACM Transactions on Computer-Human Interaction (TOCHI) archive
Volume 13 ,  Issue 2  (June 2006) table of contents
Pages: 135 - 178  
Year of Publication: 2006
ISSN:1073-0516
Authors
Lorrie Faith Cranor  Carnegie Mellon University, Pittsburgh, PA
Praveen Guduru  AT&T Labs, Middletown, NJ
Manjula Arjula  AT&T Labs, Middletown, NJ
Publisher
ACM  New York, NY, USA
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ABSTRACT

Most people do not often read privacy policies because they tend to be long and difficult to understand. The Platform for Privacy Preferences (P3P) addresses this problem by providing a standard machine-readable format for website privacy policies. P3P user agents can fetch P3P privacy policies automatically, compare them with a user's privacy preferences, and alert and advise the user. Developing user interfaces for P3P user agents is challenging for several reasons: privacy policies are complex, user privacy preferences are often complex and nuanced, users tend to have little experience articulating their privacy preferences, users are generally unfamiliar with much of the terminology used by privacy experts, users often do not understand the privacy-related consequences of their behavior, and users have differing expectations about the type and extent of privacy policy information they would like to see. We developed a P3P user agent called Privacy Bird. Our design was informed by privacy surveys and our previous experience with prototype P3P user agents. We describe our design approach, compare it with the approach used in other P3P use agents, evaluate our design, and make recommendations to designers of other privacy agents.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  10

Collaborative Colleagues:
Lorrie Faith Cranor: colleagues
Praveen Guduru: colleagues
Manjula Arjula: colleagues