Usability and transferability of a visualization methodology for medical data
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.
References
[1]
Chittaro, L.: Information Visualization and its Application to Medicine. Artificial Intelligence in Medicine 22(2), 81-88 (2001).
[2]
Plaisant, C.: The Challenge of Information Visualization Evaluation. In: Proc. AVI 2004, pp. 109-116. ACM Press, New York (2004).
[3]
Tory, M., Möller, T.: Human Factors in Visualization Research. IEEE Transactions on Visualization and Computer Graphics 10(1), 72-84 (2004).
[4]
Holzinger, A.: Usability Engineering Methods for Software Developers. Communications of the ACM 48(1), 71-74 (2005).
[5]
Holzinger, A.: Application of Rapid Prototyping to the User Interface Development for a Virtual Medical Campus. IEEE Software 21(1), 92-99 (2004).
[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).
[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).
[8]
Ware, C.: The Foundation of Visual Thinking. In: Tergan, S.-O., Keller, T. (eds.) Knowledge and Information Visualization. Searching for Synergies, pp. 27-35. Springer, Heidelberg (2005).
[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).
[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).
[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).
[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).
[13]
Marchionini, G.: Exploratory Search: From Finding to Understanding. Communications of the ACM 48(4), 41-46 (2006).
[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).
[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).
[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).
[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).
[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).
[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).
[20]
Nielsen. Heuristic Evaluation. In: Usability Inspection Methods, vol. ch.2, pp. 25-62. John Wiley & Sons, Chichester (1994).
[21]
Kuniavsky, M.: User Experience: A Practitioner's Guide for User Research, p. 201. Morgan Kaufmann, San Francisco (2003).
[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).
[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).
[24]
Bortz, J., Döring, N.: Forschungsmethoden und Evaluation, 4th edn. Springer, Heidelberg (2006).
Recommendations
Mixing evaluation methods for assessing the utility of an interactive InfoVis technique
HCI'07: Proceedings of the 12th international conference on Human-computer interaction: interaction design and usabilityWe describe the results of an empirical study comparing an interactive Information Visualization (InfoVis) technique called Gravi++ (GRAVI), Exploratory Data Analysis (EDA) and Machine Learning (ML). The application domain is the psychotherapeutic ...
Is visualization usable for displaying web search results in an exploratory search context?
PROMISE'12: Proceedings of the 2012 international conference on Information Retrieval Meets Information VisualizationInformation visualization is defined as an interactive and graphic amplifying cognition. Moreover, the field of information retrieval is the original scope of information visualization. Nevertheless, many problems remain. The exploratory research ...
Information visualization tutorial
CHI EA '99: CHI '99 Extended Abstracts on Human Factors in Computing SystemsVisual representation of information requires merging of data visualization methods, computer graphics, design, and imagination. This course describes the emerging field of information visualization including visualizing retrieved information from large ...
Comments
Information & Contributors
Information
Published In
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 22 November 2007
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 9Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 03 Feb 2025