Using cognitive fit theory to evaluate the effectiveness of information visualizations: an example using quality assurance data
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Updated: Jun 11, 2026

Visualizing Visual Adaptation
Published on: April 24, 2017
Jay M Teets1, David P Tegarden, Roberta S Russell
1Coastal Carolina University, Conway, SC, USA. jayt@coastal.edu
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.
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