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Xinru Page


Publications by Xinru Page (bibliography)

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Patil, Sameer, Page, Xinru and Kobsa, Alfred (2011): With a little help from my friends: can social navigation inform interpersonal privacy preferences?. In: Proceedings of ACM CSCW11 Conference on Computer-Supported Cooperative Work 2011. pp. 391-394. Available online

Recent privacy controversies surrounding social networking sites demonstrate that the mere availability of settings is not enough for effective privacy management. We investigated whether the aggregated privacy choices of one's social circle might guide users in making informed privacy decisions. We conducted an experiment in which users specified preferences for six privacy-relevant settings in Instant Messaging. In one condition, users were provided with information indicating the privacy preferences of the majority of their ''buddies." Our results suggest that while this information did influence user choices, the effect was secondary to that of the ''privacy-sensitivity" of the system feature controlled by the particular setting. Frequency of IM usage was also associated with privacy choices. The experiment data coupled with user comments suggest several usability improvements in interfaces for specifying privacy preferences.

© All rights reserved Patil et al. and/or their publisher

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Page, Xinru and Kobsa, Alfred (2011): Personality-based privacy management for location-sharing in diverse subpopulations. In: Proceedings of the 2011 iConference 2011. pp. 736-738. Available online

Researchers in the area of privacy management often suggest to provide users with a collection of privacy settings and good defaults for them. However, our research into people's attitudes towards location-sharing technology (considering both adopters and non-adopters) indicates that the right way to manage privacy and the right default can vary for different types of people; Key privacy concerns may differ by demographics and personality type, and personality may also influence privacy management preferences. To help researchers and practitioners better understand who is concerned about what, and how to best address those concerns, we will draw on our research and theories in the literature to construct and validate a scale that 1) assesses an individual's main privacy concerns towards location-sharing technology, and 2) measures personality traits relevant to privacy management. We will then put this scale into practice by deploying an enterprise-wide survey at our field site (a large multi-national entertainment corporation) that tests the relationship between the scale/subscales and an individual's intention to adopt location-sharing technology. We hope this will help us identify subpopulations with similar privacy concerns and/or personality traits, which can guide future design of privacy-sensitive location-sharing technology.

© All rights reserved Page and Kobsa and/or ACM Press

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URL: http://www.interaction-design.org/references/authors/xinru_page.html