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Who's viewed you?: the impact of feedback in a mobile location-sharing application
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Security and privacy table of contents
Pages 2003-2012  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Janice Y. Tsai  Carnegie Mellon University, Pittsburgh, PA, USA
Patrick Kelley  Carnegie Mellon University, Pittsburgh, PA, USA
Paul Drielsma  Carnegie Mellon University, Pittsburgh, PA, USA
Lorrie Faith Cranor  Carnegie Mellon University, Pittsburgh, PA, USA
Jason Hong  Carnegie Mellon University, Pittsburgh, PA, USA
Norman Sadeh  Carnegie Mellon University, Pittsburgh, PA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Feedback is viewed as an essential element of ubiquitous computing systems in the HCI literature for helping people manage their privacy. However, the success of online social networks and existing commercial systems for mobile location sharing which do not incorporate feedback would seem to call the importance of feedback into question. We investigated this issue in the context of a mobile location sharing system. Specifically, we report on the findings of a field de-ployment of Locyoution, a mobile location sharing system. In our study of 56 users, one group was given feedback in the form of a history of location requests, and a second group was given no feedback at all. Our major contribution has been to show that feedback is an important contributing factor towards improving user comfort levels and allaying privacy concerns. Participants' privacy concerns were reduced after using the mobile location sharing system. Additionally,our study suggests that peer opinion and technical savviness contribute most to whether or not participants thought they would continue to use a mobile location technology.


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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Collaborative Colleagues:
Janice Y. Tsai: colleagues
Patrick Kelley: colleagues
Paul Drielsma: colleagues
Lorrie Faith Cranor: colleagues
Jason Hong: colleagues
Norman Sadeh: colleagues