Understanding how visual representations of location feeds affect end-user privacy concerns

Authors:
Karen P. Tang;Jason I. Hong;Daniel P. Siewiorek
Affiliations:
University of California, Irvine, Irvine, CA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA
Venue:
Proceedings of the 13th international conference on Ubiquitous computing
Year:
2011

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Abstract

While past work has looked extensively at how to design privacy configuration UIs for sharing current location, there has not yet been work done to examine how visual representations of historical locations can influence end-user privacy. We present results for a study examining three visualization types (text-, map-, and time-based) for social sharing of past locations. Our results reveal that there are important design implications for location sharing applications, as certain visual elements led to more privacy concerns and inaccurate perceptions of privacy control.