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When are users comfortable sharing locations with advertisers?

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Published:07 May 2011Publication History

ABSTRACT

As smartphones and other mobile computing devices have increased in ubiquity, advertisers have begun to realize a more effective way of targeting users and a promising area for revenue growth: location-based advertising. This trend brings to bear new questions about whether or not users will adopt products involving this potentially invasive form of advertising and what sorts of protections they should be given. Our real-world user study of 27 participants echoes earlier findings that users have significant privacy concerns regarding sharing their locations with advertisers. However, we examine these concerns in more detail and find that they are complex (e.g., relating not only to the quantity of ads, but the locations and times at which they are received). With advanced privacy settings, users stated they would feel more comfortable and share more information than with a simple opt-in/opt-out mechanism.

References

  1. L. Barkhuus and A. Dey. Location-based services for mobile telephony: A study of users' privacy concerns. In INTERACT, pages 702--712, 2003.Google ScholarGoogle Scholar
  2. M. Benisch, P. Kelley, L. Cranor, and N. Sadeh. Capturing location-privacy preferences: Quantifying accuracy and user-burden tradeoffs. In Journal of Personal and Ubiquitous Computing, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. T. Burghardt, E. Buchmann, J. Müller, and K. Böhm. Understanding user preferences and awareness: Privacy mechanisms in location-based services. In OTM, pages 304--321, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. Gratton. M-commerce: The notion of consumer consent in receiving location-based advertising. Canadian Journal of Law and Technology, 1(2):59--77, 2002.Google ScholarGoogle Scholar
  5. J. Hightower, A. LaMarca, and I. E. Smith. Practical lessons from place lab. IEEE Pervasive Computing, 5(3):32--39, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. B. Kolmel and S. Alexakis. Location based advertising. In Mobile Business, 2002.Google ScholarGoogle Scholar
  7. C. Mancini, K. Thomas, Y. Rogers, B. A. Price, L. Jedrzejczyk, A. K. Bandara, A. N. Joinson, and B. Nuseibeh. From spaces to places: emerging contexts in mobile privacy. In Ubicomp, pages 1--10. ACM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. C. C. Miller and J. Wortham. Technology aside, most people still decline to be located. http://www.nytimes.com/2010/08/30/technology/30location.html.Google ScholarGoogle Scholar
  9. D. H. Nguyen, A. Kobsa, and G. R. Hayes. An empirical investigation of concerns of everyday tracking and recording technologies. In UbiComp, pages 182--191. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. B. L. Rush. Statement by the Honorable Bobby L. Rush, chairman. http://energycommerce.house.gov/Press_111/20100224/Rush.Statement.2.24.2010.pdf.Google ScholarGoogle Scholar
  11. N. Sadeh, J. Hong, L. Cranor, I. Fette, and P. Kelley. Understanding and capturing people's privacy policies in a mobile social networking application. Journal of Personal and Ubiquitous Computing, 13(6):1--14, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. J. Tsai, P. Kelley, L. Cranor, and N. Sadeh. Location-sharing technologies: Privacy risks and controls. In TPRC, 2009.Google ScholarGoogle Scholar
  13. M. M. Tsang, S.-C. Ho, and T.-P. Liang. Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3):65--78, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. R. Unni and R. Harmon. Perceived effectiveness of push vs. pull mobile location-based advertising. Journal of Interactive Advertising, 7(2), Spring 2007.Google ScholarGoogle ScholarCross RefCross Ref
  15. R. Want, V. Falcão, and J. Gibbons. The active badge location system. ACM Transactions on Information Systems, 10:91--102, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library

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            cover image ACM Conferences
            CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
            May 2011
            3530 pages
            ISBN:9781450302289
            DOI:10.1145/1978942

            Copyright © 2011 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 7 May 2011

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            CHI '11 Paper Acceptance Rate410of1,532submissions,27%Overall Acceptance Rate6,199of26,314submissions,24%

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