Name
Abstract | ||
|---|---|---|
The evaluation of Information Visualization (InfoVis) techniques can help to identify specific strengths and weaknesses of these methods. The following article describes the results of an empirical study assessing the contribution of an interactive InfoVis method based on a spring metaphor (GRAVI), Exploratory Data Analysis (EDA) and Machine Learning (ML) to ease understanding. The application domain is the psychotherapeutic treatment of anorectic young women. The three methods are supposed to support the therapists in finding the variables which influence success or failure of the therapy. To conduct the evaluation we developed a report system which helped subjects to formulate and document in a self-directed manner the insights they gained when using the three methods. The results indicate that the three methods are complementary and should be used in conjunction. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IV.2007.44 | IV |
Keywords | Field | DocType |
following article,application domain,insight reports,psychotherapeutic treatment,anorectic young woman,information visualization,report system,machine learning,interactive infovis method,exploratory data analysis,empirical study,infovis technique,data visualisation,usability,pediatrics,learning artificial intelligence,data analysis,psychology,knowledge engineering,visualization | Data science,Data visualization,Information visualization,Computer science,Application domain,Exploratory data analysis,Strengths and weaknesses,Multimedia,Metaphor,Empirical research,Patient treatment | Conference |
ISSN | ISBN | Citations |
1550-6037 | 0-7695-2900-3 | 8 |
PageRank | References | Authors |
0.58 | 14 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Rester | 1 | 106 | 7.24 |
| Margit Pohl | 2 | 204 | 24.42 |
| Sylvia Wiltner | 3 | 58 | 4.57 |
| Klaus Hinum | 4 | 36 | 2.43 |
| Silvia Miksch | 5 | 2212 | 174.85 |
| Christian Popow | 6 | 150 | 16.01 |
| Susanne Ohmann | 7 | 43 | 3.16 |