skip to main content
10.1145/1377999.1378016acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

'Divert: mother-in-law': representing and evaluating social context on mobile devices

Published:09 September 2007Publication History

ABSTRACT

In this paper we examine the role of social context --- for example social relationships or mood --- in the use of mobile phones. A mobile system that uses information on social context can provide a less obtrusive and a more natural way of interaction: it could play a cheery and joyful tone when a friend calls, or divert the call for the mother-in-law. We present a model of social context, along with its implementation in a prototype based on Semantic Web ontologies. The empirical evaluation, based on experience sampling, with participants during a field trial shows that communicated content, relationship types, and mood have an impact on the usage of mobile devices. Based on the findings, we argue that the design of future mobile services needs to be informed by social context to a greater extent.

References

  1. Battarbee, K. (2004). Co-Experience: Understanding user experiences in social interaction. PhD thesis, University of Art and Design, Helsinki.Google ScholarGoogle Scholar
  2. Becker, C. and Nicklas, D. (2004). Where do spatial context-models end and where do ontologies start? a proposal of a combined approach. In First International Workshop on Advanced Context Modelling, Reasoning And Management, UbiComp 2004.Google ScholarGoogle Scholar
  3. Brown, B. (2002). Wireless world: social and interactional aspects of the mobile age, chapter Studying the Use of Mobile Technology, pages 3--15. Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Carphone Warehouse (2006). The mobile life report 2006: How mobile phones change the way we live. http://www.mobilelife2006.co.uk (accessed 15.3.2006).Google ScholarGoogle Scholar
  5. Clark, L. A. and Watson, D. (1988). Mood and the mundane: Relations between daily life events and self-reported mood. Journal of Personality and Social Psychology, 54:296--308.Google ScholarGoogle ScholarCross RefCross Ref
  6. Consolvo, S. and Walker, M. (2002). Experience sampling method: preliminary findings. In Workshop on user-centered evaluations of ubicomp, 4th International conference on ubiquitous computing.Google ScholarGoogle Scholar
  7. Davis, I. and Vitiello, E. (2005). Relationship: A vocabulary for describing relationships between people. http://vocab.org/relationship (accessed 15.3.2006).Google ScholarGoogle Scholar
  8. DeVito, J. A. (1999). Messages: Building interpersonal communication skills. Longman, New York.Google ScholarGoogle Scholar
  9. Dey, A. and Abowd, G. (1999). Towards a better understanding of context and context-awareness. Technical report, Giorgia Institute of Technology.Google ScholarGoogle Scholar
  10. Dix, A., Rodden, T., Davies, N., Trevor, J., Friday, A., and Palfreyman, K. (2000). Exploiting space and location as a design framework for interactive mobile systems. ACM Transaction on Computer-Human Interaction 7(3): 285--321. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Dumbill, E. (2002). Finding friends with XML and RDF. http://www-128.ibm.com/developerworks/xml/library/x-foaf.html (accessed 15.3.2006).Google ScholarGoogle Scholar
  12. Dourish, P. (2004). What we talk about when we talk about context. Personal and Ubiquitous Computing, 8:19--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Eagle, N. and (Sandy) Pentland, A. 2006. Reality mining: sensing complex social systems. Personal Ubiquitous Comput. 10, 4 (Mar. 2006), 255--268. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Galla, M. (2004). Social Relationship Management in Internet-based Communication and Shared Information Spaces. PhD thesis, Technical University Munich.Google ScholarGoogle Scholar
  15. Hall, E. T. (1976). Beyond Culture. Doubleday, New York.Google ScholarGoogle Scholar
  16. Ho, J. and Intille, S. S. (2005). Using context-aware computing to reduce the perceived burden of interruptions from mobile devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing System (Portland, Oregon, USA, April 02--07, 2005), 909--918, New York, NY. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Hudson, J. M., Christensen, J., Kellogg, W. A., and Erickson, T. (2002). "I'd be overwhelmed, but it's just one more thing to do:" availability and interruption in research management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Minneapolis, Minnesota, USA, April 20--25, 2002), 97--104, New York, NY. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Hulkko, S., Mattelmäki, T., Virtanen, K., and Keinonen, T. (2004). Mobile probes. In Proceedings of NordiCHI'04, October 23--27 2004, Tampere, Finland. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Jung, Y., Persson, P., and Blom, J. (2005). DeDe: design and evaluation of a context-enhanced mobile messaging system. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Portland, Oregon, USA, April 02--07, 2005), 351--360, New York, NY. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Khalil, A. and Connelly, K. (2005). Improving cell phone awareness by using calendar information. In Proceedings of Interact 2005, Rome, Italy. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Knobloch-Westerwick, S. and Alter, S. (2006). Mood adjustment to social situations through mass media use: How men ruminate and women dissipate angry moods. Human Communication Research, 32:58--73.Google ScholarGoogle ScholarCross RefCross Ref
  22. Larson, R. and Csikszentmihalyi, M. (1983). The Experience Sampling Method. In H. T. Reis (Ed.). Naturalistic approaches to studying social interaction. San Francisco: Jossey-Bass, 41--56.Google ScholarGoogle Scholar
  23. Lisetti, C. (2002). Personality, affect, and emotion taxonomy for socially intelligent agents. In Proceedings of FLAIRS 2002, Menlo Park, CA. AAAI Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Mihalic, K. and Tscheligi, M. (2006). Interactional context for mobile applications. In Proceedings of the 20th International Symposium on Human Factors in Telecommunication (Sophia-Antipolis, France, March 20--23, 2006).Google ScholarGoogle Scholar
  25. Morreale, S. P., Spitzberg, B. H., and Barge, J. K. (2001). Human Communication: motivation, knowledge, & skills. Wadsworth, Belmont.Google ScholarGoogle Scholar
  26. Nagel, K. S., Hudson, J. M., and Abowd, G. D. (2004). Predictors of availability in home life context-mediated communication. In Proceedings of CSCW'04, November 6--10 2004, Chicago, Illinois. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Parunak, H. V. D. and Odell, J. (2001). Representing social structures in UML. In Proceedings of the Workshop on Agent-Oriented Software Engineering (AOSE) 2001 at Autonomous Agents 2001 Conference. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Reeves, B. and Nass, C. (1996). The media equation: how people treat computers, television, and new media like real people and places. Cambridge University Press, New York, NY, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Rhee, Y., Kim, J., and Chung, A. (2006). Your phone automatically caches your life, interactions 13, 4 (Jul. 2006), 42--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Riva, G., Vatalaro, F., Davide, F., and Alcañiz, M., (Eds.) (2001). Ambient Intelligence. The evolution of technology, communication and cognition towards the future of human-computer interaction. OCSL Press.Google ScholarGoogle Scholar
  31. Staab, S., Erdmann, M., and Maedche, A. (2001). Ontologies in RDF(S). Linköping Electronic Articles in Computer and Information Science, 6(9).Google ScholarGoogle Scholar
  32. Vittengl, J. R. and Holt, C. S. (1998). A time-series diary study of mood and social interaction. Motivation and Emotion, 22(3):255--275.Google ScholarGoogle ScholarCross RefCross Ref
  33. Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54:1063--1070.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. 'Divert: mother-in-law': representing and evaluating social context on mobile devices

      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 '07: Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
        September 2007
        352 pages
        ISBN:9781595938626
        DOI:10.1145/1377999

        Copyright © 2007 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: 9 September 2007

        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