Location disclosure to social relations: why, when, & what people want to share
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Privacy in Location-Aware Computing Environments
IEEE Pervasive Computing
Who's viewed you?: the impact of feedback in a mobile location-sharing application
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding and capturing people's privacy policies in a mobile social networking application
Personal and Ubiquitous Computing
Location-based information fusion for mobile navigation
Proceedings of the 13th international conference on Ubiquitous computing
Sensorsafe: a framework for privacy-preserving management of personal sensory information
SDM'11 Proceedings of the 8th VLDB international conference on Secure data management
Eyeing your exposure: quantifying and controlling information sharing for improved privacy
Proceedings of the Seventh Symposium on Usable Privacy and Security
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Fast track article: Balancing behavioral privacy and information utility in sensory data flows
Pervasive and Mobile Computing
Measuring user confidence in smartphone security and privacy
Proceedings of the Eighth Symposium on Usable Privacy and Security
Reasons, rewards, regrets: privacy considerations in location sharing as an interactive practice
Proceedings of the Eighth Symposium on Usable Privacy and Security
My privacy policy: exploring end-user specification of free-form location access rules
FC'12 Proceedings of the 16th international conference on Financial Cryptography and Data Security
Adaptive information-sharing for privacy-aware mobile social networks
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Proximity sensor: privacy-aware location sharing
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Foundations for infrastructure and interfaces to support user control in long-term user modelling
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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Locaccino is a location sharing application designed to empower users to effectively control their privacy. It has been piloted by close to 2000 users and has been used by researchers as an experimental platform for conducting research on location-based social networks. Featured technologies include expressive privacy rule creation, detailed feedback mechanisms that help users understand their privacy, algorithms for analyzing privacy preferences, and clients for mobile computers and smartphone devices. In addition, variations of Locaccino are also being piloted as part of research on user-controllable policy learning, learning usable privacy personas and reconciling expressiveness and user burden. The purpose of this demo is to introduce participants to the features of Locaccino, so that they can try out the Locaccino smartphone and laptop applications on their own devices, locate their friends and colleagues, and set rich privacy policies for sharing their location.