skip to main content
10.1145/1832838.1832841acmotherconferencesArticle/Chapter ViewAbstractPublication PageschinzConference Proceedingsconference-collections
research-article

An analytical framework for the evaluation of collaborative design around an interactive tabletop

Published:08 July 2010Publication History

ABSTRACT

In this paper, we describe an analytical framework that was developed based on the distributed cognition approach to enable the evaluation of a collaborative design task around an interactive tabletop. The framework was a theoretical lens to help develop a better understanding on how people collaborate around the tabletop. This theoretical lens was necessary to prevent any preconceived ideas that the researcher may have had from affecting how the work systems would be evaluated in the research. It helped to determine what data was relevant and needed to be collected in order to develop an adequate explanation for the collaborative task observed.

References

  1. Blandford, A. and Furniss, D. 2005. DiCoT: a methodology for applying Distributed Cognition to the design of team working systems. Proceeding DSVIS 2005 (LNCS). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Clark, H. H. 1996. Using language. New York, Cambridge University Press.Google ScholarGoogle Scholar
  3. Clark, H. H. and Brennan, S. E. 1991. Grounding in Communication. Readings in Groupware and Computer-Supported Cooperative Work: Assisting Human-Human Collaboration. R. M. Baedker. San Francisco, CA, USA, Morgan Kaufmann: 222--233.Google ScholarGoogle Scholar
  4. Clegg, C. 1994. Psychology and information technology: the study of cognition in organisations. British Journal of Psychology 85: 449--477.Google ScholarGoogle ScholarCross RefCross Ref
  5. Cohen, P. R., Coulston, R., et al. 2002. Multimodal interaction during multiparty dialogues: Initial Results. IEEE International Conference on Multimodal Interfaces: 448--452. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Dillenbourg, P. 1996. Some technical implications of the distributed cognition approach on the design of interactive learning. Journal of Artificial Intelligence in Education 7(2): 161--180. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Flor, N. and Hutchins, E. 1992. Analysing distributed cognition in software teams: a case study of team programming during perfective software maintenance. Empirical Studies of Programmers: 4th Workshop. M. R. In Eds. Joenemann-Belliveau, USA: Ablex: 36--64.Google ScholarGoogle Scholar
  8. Gutwin, C. and Greenberg, S. 1999. The effects of Workspace Awareness Support on the Usability of Real-Time Distributed Groupware. ACM Transactions on CHI Vol 6(3). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hussain, N., DeBruijn, O., Hassan, Z. 2005. Using the Framework of Distributed Cognition in the Evaluation of a Collaborative Tool. International Conference on Information Technology in Asia (CITA'05), Sarawak, Malaysia 12--15 December, 2005.Google ScholarGoogle Scholar
  10. Halverson, C. A. (1994). Distributed Cognition as a theoretical framework for HCI: don't throw the baby out with the bathwater - the importance of the cursor in air traffic control. COGSCI Tech Report 94--03. San Diego, Department of Cognitive Science, University of California, San Diego.Google ScholarGoogle Scholar
  11. Hammersley, M. and Atkinson, P. 1995. Ethnography: principles in practice., 2nd Edition. Routledge: London.Google ScholarGoogle Scholar
  12. Harrison, S. and Minneman, S. 1996. A Bike in Hand. Analysing Design Activity. N. Cross, Christians, H. and Dorst, K. (Eds). Chichester, UK, John Wiley & Sons: 417--436.Google ScholarGoogle Scholar
  13. Holland, J., Hutchins, E., et al. 2000. Distributed Cognition: Toward a New Foundation for Human-Computer Interaction Research. ACM Transactions on Computer-Human Interaction Vol 7: pp. 174--196 Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Hoyles, C. and Sutherland, R. 1989. Logo mathematics in the classroom." Routledge.Google ScholarGoogle Scholar
  15. Hutchins, E. and Klausen. T. 1991. Distributed cognition in an airline cockpit. Technical Report, UCSD: Distributed Cognition Laboratory.Google ScholarGoogle Scholar
  16. Hutchins, E. 1995. Cognition in the Wild. Bradford, MIT Press.Google ScholarGoogle Scholar
  17. Larsson, A. 2003. Making Sense of Collaboration: The Challenge of Thinking Together in Global Design Teams. Group'03, Florida, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Morris, M. R. and Winograd, T. 2004. Quantifying Collaboration on Computationally-Enhanced Tables. CSCW 2004 Workshop on Methodologies for Evaluating Collaboration Behaviour in Co-located Environments.Google ScholarGoogle Scholar
  19. Nardi, B. 1995. Context and Consciousness. Activity Theory and HCI. M. Cambridge. MA, USA: 7--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Nardi, B. and Miller, J. R. 1989. "Twinkling lights and nested loops: distributed problem solving and spreadsheet development." International Journal of Man-Machine Systems 34: 161--184. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Norman, D. A. 1993. "Cognition in the head and in the world - an introduction to the special issue on situated action." Cognitive Science 17: 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  22. Norman, D. 1986. Reflections on cognition and parallel distributed processing. Parallel Distributed Processing: Explorations in the microstructure of cognition. R. In McClelland, & the PDP Research Group (Eds.). 2, Psychological and Biological models: 531--546. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Perry, M. J. 1997. Distributed Cognition and Computer Supported Collaborative Design: The organisation of work in Construction Engineering. Department of Information Systems and Computing. London, Brunel: 232.Google ScholarGoogle Scholar
  24. Rogers, Y. 1993. "Coordinating computer-mediated work." Computer Supported Cooperative Work 1: 295--315.Google ScholarGoogle ScholarCross RefCross Ref
  25. Rogers, Y. 2004. "Distributed Cognition and Communication." Encyclopedia of Language and Linguistics (2nd edition).Google ScholarGoogle Scholar
  26. Rogers, Y. 1997. A brief introduction to distributed cognition. DOI= http://www.cogs.susx.ac.uk/users/yvonner/papers/dcog/dcog-brief-intro.pdfGoogle ScholarGoogle Scholar
  27. Rumelhart, D. E., McClelland, J. L. et al. 1986. "Schemata and sequential thought processes in PDP models." In McClelland, Rumelhart, & PDP Research Group (Eds.) Parallel distributed processing: explorations in the microstructure of cognition 2(Psychological and biological models): 7--57, Cambridge, Mass.: MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Ryall, K., Forlines, C. et al. 2004. Exploring the Effects of Group Size and Table Size on Interactions with Tabletop Shared-Display Groupware. ACM CSCW '04, Chicago, Illinois, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Saad, M. and Maher, M. L. 1996. Shared understanding in computer-supported collaborative design. Computer-Aided Design 28(3): 183--192.Google ScholarGoogle ScholarCross RefCross Ref
  30. Scott, S. D. 2003. Territory-Based Interaction Techniques for Tabletop Collaboration. Conference Companion of the ACM Symposium on User Interface Software and Technology UIST'03.Google ScholarGoogle Scholar
  31. Short, J., Williams, E., et al. 1991. Visual Communication and Social Interaction. Readings in Groupware and Computer-Supported Cooperative Work: Assisting Human-Human Collaboration. R. M. E. Baecker. San Francisco, CA, USA, Morgan Kaufmann: 153--164.Google ScholarGoogle Scholar
  32. Strauss, A. 1985. Work and the division of labour. The Sociological Quarterly 26(1): 1--19.Google ScholarGoogle ScholarCross RefCross Ref
  33. Suchman, L. A. 1987. Plans and situated actions: The problem of human computer interaction. Cambridge, Cambridge University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Tang, J. 1991. Findings from observational studies of collaborative work. International Journal of Man-Machine Studies 34(2): 143--160 Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Tse, E., Histon, J., et al. 2004. Avoiding Interference: How people use spatial separation and partitioning in SDG Workspaces. SIGCHI conference on Human Factors in Computing Systems (CSCW'04), Chicago, Illinois, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Wright, P., Fields, B., et al. 2000. Analysing Human-Computer Interaction as Distributed Cognition: The Resources Model. Human-Computer Interaction 15(1): 1--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Yelland, N. J. 1995. Logo experiences with young children: Describing performance, problem-solving and social context of learning. Early Child Development and Care 109: 61--74.Google ScholarGoogle ScholarCross RefCross Ref
  38. Zhang, J. 1997. The nature of external representations in problem solving. Cognitive Science 21(2): 179--217.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. An analytical framework for the evaluation of collaborative design around an interactive tabletop

            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
              CHINZ '10: Proceedings of the 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction
              July 2010
              95 pages
              ISBN:9781450301046
              DOI:10.1145/1832838

              Copyright © 2010 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: 8 July 2010

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article

              Acceptance Rates

              Overall Acceptance Rate8of23submissions,35%
            • Article Metrics

              • Downloads (Last 12 months)1
              • Downloads (Last 6 weeks)0

              Other Metrics

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader