Empirical models of privacy in location sharing

doi:10.1145/1864349.1864364

Empirical models of privacy in location sharing

Full Text:

PDF

Buy this Article

Authors:	Eran Toch	Carnegie Mellon University, Pittsburgh, PA, USA
	Justin Cranshaw	Carnegie Mellon University, Pittsburgh, PA, USA
	Paul Hankes Drielsma	Carnegie Mellon University, Pittsburgh, PA, USA
	Janice Y. Tsai	Carnegie Mellon University, Pittsburgh, PA, USA
	Patrick Gage Kelley	Carnegie Mellon University, Pittsburgh, PA, USA
	James Springfield	Carnegie Mellon University, Pittsburgh, PA, USA
	Lorrie Cranor	Carnegie Mellon University, Pittsburgh, PA, USA
	Jason Hong	Carnegie Mellon University, Pittsburgh, PA, USA
	Norman Sadeh	Carnegie Mellon University, Pittsburgh, PA, USA

	2010 Article
Bibliometrics
· Downloads (6 Weeks): 16 · Downloads (12 Months): 239 · Downloads (cumulative): 706 · Citation Count: 20

Published in:

	· Proceeding
	Ubicomp '10 Proceedings of the 12th ACM international conference on Ubiquitous computing
	Pages 129-138 ACM New York, NY, USA ©2010 table of contents ISBN: 978-1-60558-843-8 doi>10.1145/1864349.1864364

Tools and Resources

Buy this Article
Request Permissions
TOC Service:
- Email
- RSS
Save to Binder
Export Formats:
- BibTeX
- EndNote
- ACM Ref
Upcoming Conference:
- UbiComp '13

Tags: collaborative computing design human factors location sharing technology measurement mobile social technology privacy user-centered design

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage Privacy Policy Code of Ethics Contact Us

Useful downloads:

Adobe Acrobat

QuickTime

Windows Media Player

Real Player