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.
 Michael Benisch, Patrick Gage Kelley, Norman Sadeh, Lorrie Faith Cranor. Capturing Location Privacy Preferences: Quantifying Accuracy and User Burden Tradeoffs. (originally CMU-ISR Tech Report 10-105, March 2010.) Journal of Personal and Ubiquitous Computing. Accepted for publication. 2011.
 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. in Proceedings of the 27th annual SIGCHI Conference on Human Factors in Computing Systems CHI ’09.
 Patrick Kelley, Paul Hankes Drielsma, Norman Sadeh, Lorrie Cranor. User Controllable Learning of Security and Privacy Policies. First ACM Workshop on AISec (AISec’08), ACM CCS 2008 Conference.
 Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, Jay Springfield, Patrick Gage Kelley, Lorrie Cranor, Jason Hong, Norman Sadeh, “Locaccino: A Privacy-Centric Location Sharing Application”, demonstration paper, in Proceedings of the 12th ACM International Conference on Ubiquitous Computing (Ubicomp 2010), Copenhagen, Denmark.
 Janice Tsai, Patrick Gage Kelley, Lorrie Faith Cranor and Norman Sadeh, Location Sharing Technologies: Privacy Risks and Controls, “I/S: A Journal of Law and Policy for the Information Society”, Vol. 6, No. 2, Summer 2010, pp. 119-151.
 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.
 Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, Janice Y. Tsai, Patrick Gage Kelley, Lorrie Cranor, Jason Hong, Norman Sadeh, Empirical Models of Privacy in Location Sharing, in Proceedings of the Twelfth International Conference on Ubiquitous Computing. Ubicomp 2010
 Jialiu Lin, Guang Xiang, Jason I. Hong, and Norman Sadeh, Modeling People’s Place Naming Preferences in Location Sharing, in Proc. of the 12th ACM International Conference on Ubiquitous Computing, Copenhagen, Denmark, Sept 26-29, 2010.
 Karen Tang, Jialiu Lin, Jason Hong, Norman Sadeh,
Rethinking Location Sharing: Exploring the Implications of Social-Driven vs. Purpose-Driven Location Sharing. in Proc. of the 12th ACM International Conference on Ubiquitous Computing, Copenhagen, Denmark, Sept 26-29, 2010.
 Patrick Gage Kelley, Michael Benisch, Lorrie Cranor and Norman Sadeh, When Are Users Comfortable Sharing Locations with Advertisers, in Proceedings of the 29th annual SIGCHI Conference on Human Factors in Computing Systems, CHI2011, May 2011. Also available as CMU School of Computer Science Technical Report, CMU-ISR-10-126 and CMU CyLab Tech Report CMU-CyLab-10-017.
 Justin Cranshaw, Eran Toch, Jason Hong, Aniket Kittur, Norman Sadeh, Bridging the Gap Between Physical Location and Online Social Networks, in Proceedings of the Twelfth International Conference on Ubiquitous Computing. Ubicomp 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)