Science

Locaccino has been developed as a part of research project at Carnegie Mellon University. Click here to find out more.

Our objective with Locaccino, is to better understand people’s privacy preferences in the context of a location-sharing application and what it takes to adequately capture them. Our research encompasses the development of better tools for specifying and refining user preferences, as well as informing society and policy makers about the value and challenges associated with emerging social networking applications.

Selected Research Publications

Norman Sadeh, Jason Hong, Lorrie Cranor, Ian Fette, Patrick Kelley, Madhu Prabaker, and Jinghai Rao. Understanding and Capturing People’s Privacy Policies in a Mobile Social Networking Application Journal of Personal and Ubiquitous Computing, Vol. 13, No. 6, August 2009.

Ramprasad Ravichandran, Michael Benisch, Patrick Gage Kelley, and Norman M. Sadeh. Capturing Social Networking Privacy Preferences: Can Default Policies Help Alleviate Tradeoffs between Expressiveness and User Burden? PETS ’09.

Janice Tsai, Patrick Kelley, Paul Hankes Drielsma, Lorrie Cranor, Jason Hong, and Norman Sadeh.
Who’s Viewed You? The Impact of Feedback in a Mobile-location System. CHI ’09.

Patrick Kelley, Paul Hankes Drielsma, Norman Sadeh, Lorrie Cranor. User Controllable Learning of Security and Privacy Policies. AISec 2008.

Michael Benisch, Patrick Gage Kelley, Norman Sadeh, Lorrie Faith Cranor. Capturing Location Privacy Preferences: Quantifying Accuracy and User Burden Tradeoffs. CMU-ISR Tech Report 10-105, March 2010.

Jason Cornwell, Ian Fette, Gary Hsieh, Madhu Prabaker, Jinghai Rao, Karen Tang, Kami Vaniea, Lujo Bauer, Lorrie Cranor, Jason Hong, Bruce McLaren, Mike Reiter, and Norman Sadeh. User-Controllable Security and Privacy for Pervasive Computing. The 8th IEEE Workshop on Mobile Computing Systems and Applications (HotMobile 2007). 2007.

Norman Sadeh, Fabien Gandon and Oh Buyng Kwon. Ambient Intelligence: The MyCampus Experience Chapter 3 in “Ambient Intelligence and Pervasive Computing”, Eds. T. Vasilakos and W. Pedrycz, ArTech House, 2006. (Also available as Technical Report CMU-ISRI-05-123, School of
Computer Science, Carnegie Mellon University)

Janice Tsai, Patrick Gage Kelley, Lorrie Faith Cranor and Norman Sadeh, Location Sharing Technologies: Privacy Risks and Controls, to appear in “I/S: A Journal of Law and Policy for the Information Society”. A shorter version of this article was presented at TPRC 2009.