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11th International Conference Information Visualization (IV '07)
Evaluating an InfoVis Technique Using Insight Reports
Zurich, Switzerland
July 04-July 06
ISBN: 0-7695-2900-3
Markus Rester, Vienna University of Technology
Margit Pohl, Vienna University of Technology
Sylvia Wiltner, Vienna University of Technology
Klaus Hinum, Vienna University of Technology
Silvia Miksch, Danube University Krems
Christian Popow, Medical University of Vienna
Susanne Ohmann, Medical University of Vienna
The evaluation of Information Visualization (InfoVis) techniques can help to identify specific strengths and weaknesses of these methods. The following article describes the results of an empirical study assessing the contribution of an interactive InfoVis method based on a spring metaphor (GRAVI), Exploratory Data Analysis (EDA) and Machine Learning (ML) to ease understanding. The application domain is the psychotherapeutic treatment of anorectic young women. The three methods are supposed to support the therapists in finding the variables which influence success or failure of the therapy. To conduct the evaluation we developed a report system which helped subjects to formulate and document in a self-directed manner the insights they gained when using the three methods. The results indicate that the three methods are complementary and should be used in conjunction.
Citation:
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus Hinum, Silvia Miksch, Christian Popow, Susanne Ohmann, "Evaluating an InfoVis Technique Using Insight Reports," iv, pp.693-700, 11th International Conference Information Visualization (IV '07), 2007
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