skip to main content
10.1145/1409240.1409342acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

An activity-driven model for context-awareness in mobile computing

Published:02 September 2008Publication History

ABSTRACT

To fully exploit the strengths and potential of the today's mobile devices, context-awareness needs to be incorporated into the very essence of mobile computing. But today's mobile computing approaches either fail to do so, or do it in a very limited way. At the same time, current research efforts in context-awareness fail to consider context as a dynamic construct, and is unable to offer a holistic treatment of context-awareness that includes an active role for the user. Our hypothesis is that to make context-awareness more intuitive and productive to the mobile user, the notion of context needs to be user-centric. In this research, we explore a novel, general form of context-aware mobile computing that is activity-driven, and where context dynamically arises from the user's activity.

References

  1. J. Bardram, J. Bunde-Pedersen, and M. Soegaard. Support for activity-based computing in a personal computing operating system. Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 211--220, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. E. Bardram and T. R. Hansen. The aware architecture: supporting context-mediated social awareness in mobile cooperation. pages 192--201, Chicago, Illinois, USA, 2004. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Chalmers. A historical view of context. Computer Supported Cooperative Work (CSCW), 13:223--247, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. K. Dey, G. D. Abowd, and D. Salber. A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction, 16:97--166, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Dourish. What we talk about when we talk about context. Personal and Ubiquitous Computing, 8:19--30, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. H. W. Gellersen, A. Schmidt, and M. Beigl. Multi-sensor context-awareness in mobile devices and smart artifacts. Mob. Netw. Appl., 7:341--351, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. S. Greenberg. Context as a dynamic construct. Human-Computer Interaction, 16:257--268, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. K. Nagel, C. D. Kidd, T. O'Connell, A. K. Dey, and G. D. Abowd. The family intercom: Developing a context-aware audio communication system. pages 176--183, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A. Oulasvirta, M. Raento, and S. Tiitta. Contextcontacts: re-designing smartphone's contact book to support mobile awareness and collaboration. pages 167--174, Salzburg, Austria, 2005. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. A. Schmidt, K. A. Aidoo, A. Takaluoma, U. Tuomela, K. V. Laerhoven, and W. V. de Velde. Advanced interaction in context. Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing, pages 89--101, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. D. Svanæs. Context-aware technology: A phenomenological perspective. Human-Computer Interaction, 16:379--400, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. An activity-driven model for context-awareness in mobile computing

      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 Other conferences
        MobileHCI '08: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
        September 2008
        568 pages
        ISBN:9781595939524
        DOI:10.1145/1409240

        Copyright © 2008 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: 2 September 2008

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate202of906submissions,22%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader