Title :
Using Cognitive Fit Theory to Evaluate the Effectiveness of Information Visualizations: An Example Using Quality Assurance Data
Author :
Teets, Jay M. ; Tegarden, David P. ; Russell, Roberta S.
Author_Institution :
Dept. of Manage., Marketing, & Law, Coastal Carolina Univ., Conway, SC, USA
Abstract :
Cognitive fit theory, along with the proximity compatibility principle, is investigated as a basis to evaluate the effectiveness of information visualizations to support a decision-making task. The task used in this study manipulates varying levels of task complexity for quality control decisions in a high-volume discrete manufacturing environment. The volume of process monitoring and quality control data produced in this type of environment can be daunting. Today´s managers need effective decision support tools to sort through the morass of data in a timely fashion to make critical decisions on product and process quality.
Keywords :
data visualisation; decision making; decision support systems; inference mechanisms; information analysis; production engineering computing; quality assurance; quality control; cognitive fit theory; decision support tools; decision-making task; high-volume discrete manufacturing environment; information visualizations; process monitoring; process quality; product quality; proximity compatibility principle; quality assurance data; quality control decisions; task complexity; Experimental design; information visualization; quality assurance; user interface evaluation.;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2010.21
