Information Visualization, interactive information visualization, temporal data, medicine
N/A
summary of objectives
Exploring human reasoning processes and developing tools to
help clinical system users users gain more insights
from information and data
location
Vienna University of Technology
partners
Vienna University of Technology
start date
end date
support
description
Goals of the project:
To explore Information Visualization, Exploratory Data Analys and Machine Learning methods
that support human reasoning processes; to research the strengths and limitations of these methods and see how different
combinations can support more in-depth reasoning processes to help users gain more insights
from information and data;
To develop methods to support exploration and visualization of data and information.
The project is conducting a study analysing medical data from the Department of Child and Adolescent Neuropsychiatry at the
Medical University of Vienna. This highly structured, time based, categorical data comes from questionnaires of
girls with eating disorders (anorexia nervosa).
references
K. Hinum, S. Miksch, W. Aigner et al.
Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data.
Journal of Universal Computer Science, 11 (2005), 11; 1792 - 1805.
"
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.
"
contact
Silvia Miksch
Institute of Software
Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188
A-1040 Vienna Austria
in2vis