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Locaccino: A privacy-centric location sharing application

  • Eran Toch*
  • , Justin Cranshaw
  • , Paul Hankes-Drielsma
  • , Jay Springfield
  • , Patrick Gage Kelley
  • , Lorrie Cranor
  • , Jason Hong
  • , Norman Sadeh
  • *Corresponding author for this work
  • Carnegie Mellon University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

40 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationUbiComp'10 - 2010 ACM Conference on Ubiquitous Computing - Adjunct Proceedings
PublisherAssociation for Computing Machinery
Pages381-382
Number of pages2
ISBN (Print)9781450302838
DOIs
StatePublished - 2010
Externally publishedYes

Publication series

NameUbiComp'10 - Proceedings of the 2010 ACM Conference on Ubiquitous Computing

Keywords

  • location sharing technology
  • mobile social technology
  • privacy

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