skip to main content
10.1145/2556288.2557287acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Personalisation and privacy in future pervasive display networks

Authors Info & Claims
Published:26 April 2014Publication History

ABSTRACT

There is increasing interest in using digital signage to deliver highly personalised content. However, display personalization presents a number of architectural design challenges in particular, how best to provide personalisation without unduly compromising viewers' privacy. While previous research has focused on understanding specific elements of the overall vision, our work presents details of the first significant attempt at a system that integrates future pervasive display networks and mobile devices to support display personalisation. We describe a series of usage models and design goals for display personalisation and then present Tacita, a system that supports these models and goals. Our architecture includes mobile, display and cloud-based elements and provides comprehensive personalisation features while preventing the creation of user profiles within the display infrastructure, thus helping to preserve users' privacy. An initial evaluation of our prototype implementation of the architecture is also included and demonstrates the viability of the Tacita approach.

References

  1. Addlesee, M., Curwen, R., Hodges, S., Newman, J., Steggles, P., Ward, A., and Hopper, A. Implementing a sentient computing system. Computer 34, 8 (Aug. 2001), 50--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Beresford, A., and Stajano, F. Location privacy in pervasive computing. Pervasive Computing 2, 1 (2003). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Clinch, S., Harkes, J., Friday, A., Davies, N., and Satyanarayanan, M. How close is close enough' understanding the role of cloudlets in supporting display appropriation by mobile users. In PerCom (2012).Google ScholarGoogle Scholar
  4. Cox, D., Kindratenko, V., and Pointer, D. Intellibadge: Towards providing location-aware value-added services at academic conferences. In UbiComp (2003).Google ScholarGoogle Scholar
  5. Davies, N., Friday, A., Newman, P., Rutlidge, S., and Storz, O. Using bluetooth device names to support interaction in smart environments. In Mobisys (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Dearman, D., and Truong, K. BlueTone: A framework for interacting with public displays using dual-tone multi-frequency through bluetooth. In UbiComp (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Duckham, M., and Kulik, L. A formal model of obfuscation and negotiation for location privacy. In Pervasive (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Finney, J., Wade, S., Davies, N., and Friday, A. Flump: The FLexible Ubiquitous Monitor Project. In Cabernet Radicals Workshop (1996).Google ScholarGoogle Scholar
  9. Friday, A., Davies, N., and Efstratiou, C. Reflections on long-term experiments with public displays. Computer, IEEE 45, 5 (2012). Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Goffman, E. Behavior in Public Places. Glencoe, 1963.Google ScholarGoogle Scholar
  11. José, R., Otero, N., Izadi, S., and Harper, R. Instant Places: Using Bluetooth for situated interaction in public displays. Pervasive Computing 7 (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. José, R., Pinto, H., Silva, B., and Melro, A. Instant places: Using pins and posters as paradigms for content publication for situated displays. Computer Graphics and Applications, IEEE (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Krumm, J. A survey of computational location privacy. Personal Ubiquitous Computing 13, 6 (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Kubitza, T., Clinch, S., Davies, N., and Langheinrich, M. Using mobile devices to personalize pervasive displays. ACM SIGMOBILE Mobile Computing and Communications Review 16, 4 (October 2012), 26--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Langheinrich, M. A privacy awareness system for ubiquitous computing environments. In UbiComp (2002). Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. McCarthy, J. F. Using public displays to create conversation opportunities. In Public, Community and Situated Displays (Workshop at CSCW 2002) (2002).Google ScholarGoogle Scholar
  17. Müller, J., Wilmsmann, D., Exeler, J., Buzeck, M., Schmidt, A., Jay, T., and Krüger, A. Display blindness: The effect of expectations on attention towards digital signage. In Pervasive (2009).Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Roecker, C. Providing personalized privacy support in public places. In 3rd Conf. on Privacy, Security, and Trust (2005).Google ScholarGoogle Scholar
  19. Shariff, M., Payne, T., and David, E. Public display advertising based on bluetooth device presence. In MIRW (2006).Google ScholarGoogle Scholar
  20. Shoemaker, G. B. D., and Inkpen, K. M. Single display privacyware: Augmenting public displays with private information. In CHI (2001). Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Strohbach, M., Kovacs, E., and Martin, M. Towards pervasively adapting display networks. In 1st International Workshop on Pervasive Advertising (at Pervasive) (2009).Google ScholarGoogle Scholar
  22. Villar, N., Schmidt, A., Kortuem, G., and Gellersen, H.-W. Interacting with proactive public displays. Computers & Graphics 27, 6 (2003).Google ScholarGoogle ScholarCross RefCross Ref
  23. Weiser, M. The Computer for the 21st Century. Scientific American 265, 3 (1991).Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Personalisation and privacy in future pervasive display networks

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '14 Paper Acceptance Rate465of2,043submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader