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Usability and Transferability of a Visualization Methodology for Medical Data

  • Margit Pohl
  • Markus Rester
  • Sylvia Wiltner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4799)

Abstract

Information Visualization (InfoVis) techniques can offer a valuable contribution for the examination of medical data. We successfully developed an InfoVis application – Gravi – for the analysis of questionnaire data stemming from the therapy of anorectic young women. During the development process, we carefully evaluated Gravi in several stages. In this paper, we describe selected results from the usability evaluation, especially results from qualitative studies. The results indicate that Gravi is easy to use and intuitive. The subjects of the two studies described here especially liked the presentation of time-oriented data and the interactivity of the system. In the second study, we also found indication that Gravi can be used in other areas than the one it was developed for.

Keywords

Information Visualization Usability Utility Transferability Focus Groups Interviews 

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References

  1. 1.
    Chittaro, L.: Information Visualization and its Application to Medicine. Artificial Intelligence in Medicine 22(2), 81–88 (2001)CrossRefGoogle Scholar
  2. 2.
    Plaisant, C.: The Challenge of Information Visualization Evaluation. In: Proc. AVI 2004, pp. 109–116. ACM Press, New York (2004)CrossRefGoogle Scholar
  3. 3.
    Tory, M., Möller, T.: Human Factors in Visualization Research. IEEE Transactions on Visualization and Computer Graphics 10(1), 72–84 (2004)CrossRefGoogle Scholar
  4. 4.
    Holzinger, A.: Usability Engineering Methods for Software Developers. Communications of the ACM 48(1), 71–74 (2005)CrossRefGoogle Scholar
  5. 5.
    Holzinger, A.: Application of Rapid Prototyping to the User Interface Development for a Virtual Medical Campus. IEEE Software 21(1), 92–99 (2004)CrossRefGoogle Scholar
  6. 6.
    Wiltgen, M., Holzinger, A., Groell, R., Wolf, G., Habermann, W.: Usability of image fusion: optimal opacification of vessels and squamous cell carcinoma in CT scans. Springer Elektrotechnik & Informationstechnik, e&i 123(4), 156–162 (2006)Google Scholar
  7. 7.
    Holzinger, A., Geierhofer, R., Ackerl, S., Searle, G.: CARDIAC at VIEW: The User Centered Development of a new Medical Image Viewer. In: Zara, J., Sloup, J. (eds.) Central European Multimedia and Virtual Reality Conference, pp. 63–68, Czech Technical University, Prague (2005)Google Scholar
  8. 8.
    Ware, C.: The Foundation of Visual Thinking. In: Tergan, S.-O., Keller, T. (eds.) Knowledge and Inforamtion Visualization. Searching for Synergies, pp. 27–35. Springer, Heidelberg (2005)Google Scholar
  9. 9.
    Pirolli, P.: Exploring and Finding Information. In: Carroll, J.M. (ed.) HCI Models, Theories, and Frameworks. Toward a Multidisciplinary Science, pp. 157–191. Morgan Kaufmann, San Francisco (2003)Google Scholar
  10. 10.
    Russell, D.M., Stefik, M.J., Pirolli, P., Card, S.: The cost structure of sensemaking. In: Proceedings of the INTERCHI 93, ACM Conference on Human Factors in Computing Systems, ACM Press, New York (1993)Google Scholar
  11. 11.
    Card, S.: Information Visualization. In: Jacko, J.A., Sears, A. (eds.) The Human-Computer Interaction Handbook. Fundaments, Evolving Technologies and Emerging Applications, pp. 544–582. Lawrence Erlbaum, Mahwah (2003)Google Scholar
  12. 12.
    Shneiderman, B.: Creating Creativity: User Interfaces for Supporting Innovation. In: Carroll, J.M. (ed.) Human-Computer Interaction in the New Millenium, pp. 235–258. Addison-Wesley, San Francisco (2002)Google Scholar
  13. 13.
    Marchionini, G.: Exploratory Search: From Finding to Understanding. Communications of the ACM 48(4), 41–46 (2006)CrossRefGoogle Scholar
  14. 14.
    Bertini, E., Plaisant, C., Santucci, G. (eds.) BELIV 2006.Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaLuation methods for Information Visualization, p. 3. ACM Press, New York (2006)Google Scholar
  15. 15.
    Rester, M., Pohl, M., Hinum, K., Miksch, S., Popow, C., Ohmann, S., Banovic, S.: Assessing the Usability of an Interactive Information Visualization Method as the First Step of a Sustainable Evaluation. In: Holzinger, A., Weidmann, K.-H. (eds.) Empowering Software Quality: How can Usability Engineering reach this goal? Wien: Oesterreichische Computergesellschaft, pp. 31–43 (2005)Google Scholar
  16. 16.
    Rester, M., Pohl, M., Wiltner, S., Hinum, K., Miksch, S., Popow, C., Ohmann, S.: Evaluating an InfoVis Technique Using Insight Reports. In: Proceedings of the IV 2007 Conference, pp. 693–700 (2007)Google Scholar
  17. 17.
    Rester, M., Pohl, M., Wiltner, S., Hinum, K., Miksch, S., Popow, C., Ohmann, S.: Mixing Evaluation Methods for Assessing the Utility of an Interactive InfoVis Technique. In: Jacko, J. (ed.) HCII 2007. Human-Computer Interaction. Interaction Design and Usability. LNCS, vol. 4550, pp. 604–613. Springer, Heidelberg (2007)Google Scholar
  18. 18.
    Hinum, K., Miksch, S., Aigner, W., Ohmann, S., Popow, C., Pohl, M., Rester, M.: Gravi++: Interactive information visualization to explore highly structured temporal data. Journal of Universal Comp. Science 11(11), 1792–1805 (2005)Google Scholar
  19. 19.
    Hinum, K.: Gravi++ – An Interactive Information Visualization for High Dimensional, Temporal Data. PhD thesis, Institute of Software Technology & Interactive Systems, Vienna University of Technology (2006)Google Scholar
  20. 20.
    Nielsen. Heuristic Evaluation. In: Usability Inspection Methods, vol. ch.2, pp. 25–62. John Wiley & Sons, Chichester (1994)Google Scholar
  21. 21.
    Kuniavsky, M.: User Experience: A Practitioner’s Guide for User Research, p. 201. Morgan Kaufmann, San Francisco (2003)Google Scholar
  22. 22.
    Mazza, R.: Evaluating information visualization applications with focus groups: the coursevis experience. In: BELIV 2006. Proc. of the 2006 AVI workshop on BEyond time and errors: novel evaLuation methods for InfoVis, ACM Press, New York (2006)Google Scholar
  23. 23.
    Mazza, R., Berre, A.: Focus group methodology for evaluating information visualization techniques and tools. In: IV 2007. Proc. of the 11th International Conference Information Visualization, pp. 74–80. IEEE Computer Society, Los Alamitos (2007)Google Scholar
  24. 24.
    Bortz, J., Döring, N.: Forschungsmethoden und Evaluation, 4th edn. Springer, Heidelberg (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Margit Pohl
    • 1
  • Markus Rester
    • 1
  • Sylvia Wiltner
    • 1
  1. 1.Vienna University of Technology, 1040 Vienna, Austria, Institute of Design & Assessment of Technology 

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