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

Tracking and comparing psychotherapeutic data derived from questionnaires involves a large number of highly structured, time-oriented parameters. Descriptive and other statistical methods are only suited for partial analysis. Therefore, we invented a 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.

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