JUCS - Journal of Universal Computer Science 11(11): 1792-1805, doi: 10.3217/jucs-011-11-1792
Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data
Klaus Hinum‡,
Silvia Miksch‡,
Wolfgang Aigner‡,
Susanne Ohmann§,
Christian Popow§,
Margit Pohl|,
Markus Rester¶‡ Institute of Software Technology and Interactive Systems, Vienna University of Technology, Austria§ Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria| Institute of Design and Assessment of Technology, Vienna University of Technology, Austria¶ Vienna University of Technology, Vienna, Austria
Corresponding author:
Klaus Hinum
(
hinum@ifs.tuwien.ac.at
)
© Klaus Hinum, Silvia Miksch, Wolfgang Aigner, Susanne Ohmann, Christian Popow, Margit Pohl, Markus Rester. Citation:
Hinum K, Miksch S, Aigner W, Ohmann S, Popow C, Pohl M, Rester M (2005) Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data. JUCS - Journal of Universal Computer Science 11(11): 1792-1805. https://doi.org/10.3217/jucs-011-11-1792 | ![Open Access](/i/open_access_icon_colour.svg) |
AbstractTracking 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.
Keywordsinteractive information visualization, temporal data, medical domain