Virtual walls: protecting digital privacy in pervasive environments
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Imagined communities: awareness, information sharing, and privacy on the facebook
PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
The effect of monitoring by cameras and robots on the privacy enhancing behaviors of older adults
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Quantifying the invisible audience in social networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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One of the major concerns about online social networks (OSNs) is privacy. We introduce visualization and numeric audience information as potential interface solutions to the problem of privacy behaviors that are misaligned with privacy preferences. Findings from a large experiment with participants of all ages and from a broad range of backgrounds suggest that for both current and potential users, augmenting an interface with a visualization or numeric display of the audience helps people disclose in a way that is more in line with their own preferences. We conclude by proposing that audience visualization and quantification tools have the potential to assist users in achieving their privacy goals while using OSNs and have the potential to enhance privacy in other information systems as well.