Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data
Дата
Авторы
Hinum,Klaus
Miksch,Silvia
Aigner,Wolfgang
Ohmann,Susanne
Popow,Christian
Pohl,Margit
Rester,Markus
Journal Title
Journal ISSN
Volume Title
Издатель
Journal of Universal Computer Science
Аннотация
Описание
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.
Ключевые слова
interactive information visualization , temporal data , medical domain