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Adam J. Lee

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Publications by Adam J. Lee (bibliography)

2012

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Patil, Sameer, Norcie, Greg, Kapadia, Apu and Lee, Adam J. (2012): Reasons, rewards, regrets: privacy considerations in location sharing as an interactive practice. In: Proceedings of the 2012 Symposium on Usable Privacy and Security 2012. p. 5.

“Rapid growth in the usage of location-aware mobile phones has enabled mainstream adoption of location-sharing services (LSS). Integration with social-networking services (SNS) has further accelerated this trend. To uncover how these developments have shaped the evolution of LSS usage, we conducted an online study (N = 362) aimed at understanding the preferences and practices of LSS users in the US. We found that the main motivations for location sharing were to connect and coordinate with one's social and professional circles, to project an interesting image of oneself, and to receive rewards offered for 'checking in.' Respondents overwhelmingly preferred sharing location only upon explicit action. More than a quarter of the respondents recalled at least one instance of regret over revealing their location. Our findings suggest that privacy considerations in LSS are affected due to integration within SNS platforms and by transformation of location sharing into an interactive practice that is no longer limited only to finding people based on their whereabouts. We offer design suggestions, such as delayed disclosure and conflict detection, to enhance privacy-management capabilities of LSS.”

2011

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Schlegel, Roman, Kapadia, Apu and Lee, Adam J. (2011): Eyeing your exposure: quantifying and controlling information sharing for improved privacy. In: Proceedings of the 2011 Symposium on Usable Privacy and Security 2011. p. 14.

“A large body of research has focused on disclosure policies for controlling information release in social sharing (e.g., location-based) applications. However, less work has considered how exposed these policies actually leave users; i.e., to what extent are disclosures in compliance with these policies actually being made? For instance, consider a disclosure policy granting Alice's coworkers access to her location during work hours. Alice might feel that this policy appropriately controls her exposure, but may feel differently if she learned that her boss was accessing her location every 5 minutes. In addition to specifying who has access to personal information, users need a way to quantify, interpret, and control the extent to which this data is shared. We propose and evaluate an intuitive mechanism for summarizing and controlling a user's exposure on smartphone-based platforms. Our approach uses the visual metaphor of eyes appearing and growing in size on the home screen; the rate at which these eyes grow depends on the number of accesses granted for a user's location, and the type of person (e.g., family vs. friend) making these accesses. This approach gives users an accurate and ambient sense of their exposure and helps them take actions to limit their exposure, all without explicitly identifying the social contacts making requests. Through two systematic user studies (N = 43,41) we show that our interface is indeed effective at summarizing complex exposure information and provides comparable information to a more cumbersome interface presenting more detailed information.”

2004

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Lakkaraju, Kiran, Yurcik, William and Lee, Adam J. (2004): NVisionIP: netflow visualizations of system state for security situational awareness. In: Brodley, Carla E., Chan, Philip, Lippman, Richard and Yurcik, William (eds.) VizSEC/DMSEC 2004 - Workshop on Visualization and Data Mining for Computer Security 29 October, 2004, Washington DC, USA. pp. 65-72.

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