DiCoT: A Methodology for Applying Distributed Cognition to the Design of Teamworking Systems

  • Ann Blandford
  • Dominic Furniss
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3941)

Abstract

Distributed Cognition is growing in popularity as a way of reasoning about group working and the design of artefacts within work systems. DiCoT (Distributed Cognition for Teamwork) is a methodology and representational system we are developing to support distributed cognition analysis of small team working. It draws on ideas from Contextual Design, but re-orients them towards the principles that are central to Distributed Cognition. When used to reason about possible changes to the design of a system, it also draws on Claims Analysis to reason about the likely effects of changes from a Distributed Cognition perspective. The approach has been developed and tested within a large, busy ambulance control centre. It supports reasoning about both existing system design and possible future designs.

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References

  1. 1.
    Artman, H., Waern, Y.: Distributed Cognition in an Emergency Co-ordination Center. Cognition, Technology and Work 1, 237–246 (1999)CrossRefGoogle Scholar
  2. 2.
    Beyer, H., Holtzblatt, K.: Contextual Design. Morgan Kaufmann, San Francisco (1998)Google Scholar
  3. 3.
    Blandford, A., Wong, W.: Situation Awareness in Emergency Medical Dispatch. International Journal of Human–Computer Studies 61(4), 421–452 (2004)CrossRefGoogle Scholar
  4. 4.
    Carroll, J.M., Rosson, M.B.: Getting around the task-artifact cycle: how to make claims and design by scenario. ACM Transactions on Information Systems 10(2), 181–212 (1992)Google Scholar
  5. 5.
    Fields, R., Wright, P., Marti, P., Palmonari, M.: Air Traffic Control as a Distributed Cognitive System: a study of external representation. In: Green, T., Bannon, L., Warren, C., Buckley, J. (eds.) ECCE9: Proceedings of the Ninth European Conference on Cognitive Ergonomics, pp. 85–90 (1998)Google Scholar
  6. 6.
    Hollan, J.D., Hutchins, E.L., Kirsh, D.: Distributed cognition: toward a new foundation for human-computer interaction research. ACM Transactions on CHI 7(2), 174–196 (2000)Google Scholar
  7. 7.
    Hutchins, E., Klausen, T.: Distributed Cognition in and Airline Cockpit. In: Engeström, Y., Middleton, D. (eds.) Cognition and Communication at Work, Cambridge University Press, Cambridge (1991)Google Scholar
  8. 8.
    Hutchins, E.: How a Cockpit Remembers Its Speed. Cogntiive Science 19, 265–288 (1995)CrossRefGoogle Scholar
  9. 9.
    Hutchins, E.: Cognition In The Wild. MIT Press, Cambridge (1995a)Google Scholar
  10. 10.
    Nardi, B.: Studying Context: A comparison of activity theory, situated action models, and distributed cognition. In: Nardi, B. (ed.) Context and Consciousness: Activity theory and human-computer interaction, pp. 69–102. MIT Press, Cambridge (1996a)Google Scholar
  11. 11.
    Norman, D.: Things that Make Us Smart. Addison-Wesley, Reading (1995)Google Scholar
  12. 12.
    Rogers, Y., Scaife, M.: Distributed Cognition (1997), wwwsv.cict.fr/cotcos/pjs/TheoreticalApproaches/DistributedCog/DistCognitionpaperRogers.htm (Retrieved 12/08/04)
  13. 13.
    Wright, P.C., Fields, R.E., Harrison, M.D.: Analysing Human–Computer Interaction as Distributed Cognition: The Resources Model. HCI Journal 15(1), 1–41 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ann Blandford
    • 1
  • Dominic Furniss
    • 1
  1. 1.UCL Interaction CentreUniversity College LondonUK

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