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Using Activity Theory to Identify Relevant Context Parameters

  • Haosheng Huang
  • Georg Gartner
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

One of the most important aspects of ubiquitous computing is context-awareness. In this paper, we adopt an interactional perspective on context: 1) Something is context because it is used for adapting the interaction between the human and the current system. 2) Activity is central to context. 3) Context differs in each occasion of the activity. Based on this understanding, this paper proposes an Activity Theory based method which attempts to answer the following questions: how to analyze activity for context-awareness, and how to identify relevant context parameters. This method includes two steps: 1) Decomposing activity into actions, which we take as units for identifying context parameters, by using Activity Theory’s hierachical structure of activity. 2) Identifying relevant context parameters for each action by our extended Activity Theory’s framework. Finally, this paper gives an outlook how this method can be used in designing context-aware pedestrian wayfinding services.

Keywords

context-aware computing context modeling Activity Theory relevance pedestrian wayfinding service 

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References

  1. Barthelmess P, Anderson KM (2002) A view of software development environments based on activity theory, Computer Supported Cooperative Work (CSCW), vol. 11, no. 1-2, pp.13-37.CrossRefGoogle Scholar
  2. Chen Y, Atwood ME (2007) Context-centered design: bridging the gap between understanding and designing, In Jacko J (Eds.), HCII 2007, LNCS 4550, pp. 40–48.Google Scholar
  3. Dey AK, Abowd GD (1999) Towards a Better Understanding of Context and Context-Awareness, College of Computing, Georgia Institute of Technology, Tech. Rep. GIT-GVU-99-22.Google Scholar
  4. Dourish P (2004) What we talk about when we talk about context, Personal and Ubiquitous Computing, vol. 8, no. 1, pp. 19–30.Google Scholar
  5. Downs RM, Stea D (1977) Maps in minds: Refl ections on cognitive mapping, Harper & Row.Google Scholar
  6. Dransch D (2005) Activity and Context – A Conceptual Framework for Mobile Geoservices, In Meng L, Zipf A, Reichenbacher T (Eds), Map-based Mobile Services – Theories, Methods, and Implementations, Springer, pp. 31-42.Google Scholar
  7. Engeström Y (1987) Learning by expanding, Helsinki: Orienta-konsultit. Engeström, Y.: Developmental studies of work as a testbench of activity theory. In Chaiklin S and Lave J (Eds.), Understanding practice: perspectives on activity and context, Cambridge: Cambridge University Press, pp. 64–103 (1993)Google Scholar
  8. Gartner G, Uhlirz S (2005) Cartographic Location Based Services. In Meng L, Zipf A, Reichenbacher T (Eds), Map-based Mobile Services – Theories, Methods, and Implementations, Springer, pp. 159-169.Google Scholar
  9. Henricksen K, Indulska J, Rakotonirainy A (2002) Modeling context information in pervasive computing systems, In Mattern F, Naghshineh M (Eds.), Pervasive 2002, LNCS 2414, pp. 167–180.Google Scholar
  10. Kaenampornpan M, O’Neill E (2004) Modelling context: an activity theory approach, In Markopoulos P, Eggen B, Aarts E, Croeley JL (Eds), EUSAI 2004. LNCS 3295, pp. 367–374.Google Scholar
  11. Kofod-Peterson A, Cassens J (2005) Using activity theory to model context awareness, In Roth-Berghofer TR, Schulz S, Leake DB (Eds.), MRC 2005, LNAI 3946, pp. 1–17.Google Scholar
  12. Leont’ev AN (1987) Activity, consciousness, and personality, Prentice Hall.Google Scholar
  13. Lueg C (2002) Operationalizing context in context-aware artifacts: benefi ts and pitfalls, Informing Science, vol. 5, no. 2, pp. 43-47.Google Scholar
  14. Nardi AB (1996) Activity theory and human-computer interaction, In Nardi AB (Eds.), Context and consciousness: activity theory and human-computer interaction, MIT Press, pp. 4-8.Google Scholar
  15. Reichenbacher T (2004) Mobile cartography - adaptive visualisation of geographic information on mobile devices, PhD Thesis, Technical University of Munich.Google Scholar
  16. Sarjakoski LT, Nivala AM (2005) Adaptation to Context – A Way to Improve the Usability of Mobile Maps, In Meng L, Zipf A, Reichenbacher T (Eds), Map-based Mobile Services –Google Scholar
  17. Theories, Methods, and Implementations, Springer, pp. 107-123. Schilit BN, Adams NI, Want R (1994) Context-aware computing applications, IEEE WMCSA, pp. 85-90.Google Scholar
  18. Schmidt A (2002) Ubiquitous Computing – Computing in Context, PhD Thesis, Lancaster University.Google Scholar
  19. Winograd T (2001) Architectures for context, Human-Computer Interaction, vol. 16, no. 2/4, pp. 401-419.CrossRefGoogle Scholar
  20. Zimmermann A, Lorenz A, Oppermann R (2007) An operational defi nition of context, In Kokinov B, Richardson DC, Roth-Berghofer T, Vieu L (Eds.), CONTEXT 2007, LNAI 4635, pp. 558–571.Google Scholar
  21. Zipf A, von Hunolstein S (2003) Task oriented map-based mobile tourist guides, In Mobile Guides Workshop at Mobile HCI 2003, Undine, Itlay.Google Scholar
  22. Zipf A, Joest M (2003) User expectations and preferences regarding location bases services – results of a survey, In Gartner G (Eds), LBS & TeleCartography, Geowissenschaftliche Mitteilungen, vol. 66, pp 63-68.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Haosheng Huang
    • 1
  • Georg Gartner
    • 1
  1. 1.Institute of Geoinformation and CartographyVienna University of TechnologyAustria

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