Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data

K. Hinum, S. Miksch, W. Aigner, S. Ohmann, C. Popow, M. Pohl, M. Rester:
"Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data";
Journal of Universal Computer Science,11(2005), 11; S. 1792 - 1805.

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Abstract:


Tracking and comparing psychotherapeutic data derived from questionnaires involves a number of highly structured, time-oriented parameters. Descriptive and other statistical methods are only suited for partial analysis. Therefore, we created a novel spring-based interactive Information Visualization method for analysing these data more in-depth. With our method the user is able to find new predictors for a positive or negative course of the therapy due to the combination of various visualization and interaction methods.