Published November 28, 2005 | Version v1
Journal article Open

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

Authors/Creators

  • 1. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Austria
  • 2. Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
  • 3. Institute of Design and Assessment of Technology, Vienna University of Technology, Austria
  • 4. Vienna University of Technology, Vienna, Austria

Description

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.

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