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

Volume

16

Issue

5

fYear

2010

Firstpage

841

Lastpage

853

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.;

fLanguage

English

Journal_Title

Visualization and Computer Graphics, IEEE Transactions on

Publisher

ieee

ISSN

1077-2626

Type

jour

DOI

10.1109/TVCG.2010.21

Filename

5401159