The Big Five and Visualisations of Team Work Activity

  • Judy Kay
  • Nicolas Maisonneuve
  • Kalina Yacef
  • Peter Reimann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4053)


We have created a set of novel visualisations of group activity: they mirror activity of individuals and their interactions, based upon readily available authentic data. We evaluated these visualisations in the context of a semester long software development project course. We give a theoretical analysis of the design of our visualizations using the framework from the “Big 5” theory of team work as well as a qualitative study of the visualisations and the students’ reflective reports. We conclude that these visualisations provide a powerful and valuable mirroring role with potential, when well used, to help groups learn to improve their effectiveness.


Team Member Social Network Analysis Team Leader Activity Radar Software Development Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Heath, E.F.: Two cheers and a pint of worry: An on-line course in political and social philosophy. Journal of Asynchronous Learning Networks 2, 15–33 (1998)Google Scholar
  2. 2.
    Zumbach, J., Reimann, P., Schoenemann, J.: Effects of resource distribution and feedback on computer-mediated collaboration in dyads. In: Towards sustainable and scalable educational innovations informed by the learning sciences. IOS Press, Amsterdam (2005)Google Scholar
  3. 3.
    Kreijns, K., Kirschner, P., Jochems, W.: Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior 19(3), 335–353 (2003)CrossRefGoogle Scholar
  4. 4.
    Salas, E., Sims, D.E., Burke, C.S.: Is there a Big Five in teamwork? Small Group Re-search 36(5), 555–599 (2005)CrossRefGoogle Scholar
  5. 5.
    Reimann, P., Kay, J.: Adaptive visualisation of user models to support group coordination processes. In: 2nd Joint Workshop of Cognition and Learning Through Media-Communication for Advanced e-Learning, Tokyo, Japan (2005)Google Scholar
  6. 6.
    Erickson, T.: Designing Online Collaborative Environments: Social Visualisations as Shared Resources. In: 9th International Working Conference on the Language-Action Perspective on Communication Modelling (LAP 2004), New Brunswick, NJ (2004)Google Scholar
  7. 7.
    Scott, J.: Social network analysis: A handbook. Sage, London (1991)Google Scholar
  8. 8.
    Erickson, T., Kellog, W.A.: Social translucence: An approach to designing systems that mesh with social processes. ACM Transactions on Computer-Human Interaction 7(1) (2000)Google Scholar
  9. 9.
    Donath, J.S.: A semantic approach to visualizing online conversations. Communications of ACM 45(4), 45–49 (2002)CrossRefGoogle Scholar
  10. 10.
    Cadiz, J.J., Venolia, G., Jancke, G., Gupta, A.: Designing and deploying an information awareness interface. ACM CSCW (2002)Google Scholar
  11. 11.
    Soller, A., Wiebe, J., Lesgold, A.: A machine learning approach to assessing knowledge sharing during collaborative learning activities. In: Computer Supported Collaborative Learning (CSCL 2002) (2002)Google Scholar
  12. 12.
    Kildare, R., Williams, R.N., Hartnett, J.: An online tool for learning collaboration and learning while collaborating. In: Australasian Computing Education. Hobart, Australia (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Judy Kay
    • 1
  • Nicolas Maisonneuve
    • 1
  • Kalina Yacef
    • 1
  • Peter Reimann
    • 2
  1. 1.School of Information TechnologiesUniversity of SydneySydneyAustralia
  2. 2.Research Centre for Computer-supported Learning and Cognition, Faculty of EducationUniversity of SydneySydneyAustralia

Personalised recommendations