Paper Info
Title
Effects Of Cognitive Styles And Data-Characteristics On Visual Data Mining
Abstract
The study reports an experiment intended to identify parameters that affect the detection of cause and effect relations in graphically displayed data in a visual data mining environment. Accuracy of performance was measured as a function of visual properties of the cause function and information processing styles. People with different styles employ different task-solving-strategies, expressed by tool usage, and by effects of different visual properties of the displayed data. Participants with high analytic cognitive styles were better able to detect cause and effect relations through investigations of visual and more global properties of the displayed data. Visual properties of the data affected users with high analytic and low experiential cognitive styles similarly and had no direct effect on accuracy. The study points to the need for further research to gain a deeper understanding of the effect of user characteristics, display properties and data structure in a visual data mining environment that is based on intensive interaction of the user with complex graphical displays.
Year
DOI
Venue
2005
10.1117/12.586812
Visualization and Data Analysis 2005
Keywords
Field
DocType
visual data mining, graphic displays, cognitive styles
Experiential learning,Data mining,Data structure,Intensive interaction,Data processing,Data visualization,Information processing,Computer science,Cognitive style
Conference
Volume
ISSN
Citations 
5669
0277-786X
1
PageRank 
References 
Authors
0.36
3
2
Name
Order
Citations
PageRank
Peter Bak110.36
Joachim Meyer237641.28