Developing A Theoretical Framework of Task Complexity for Research on Visualization in Support of Decision Making Under Uncertainty

• Published in: Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017-09, Vol.61 (1), p.1193-1197
• Main Authors: Fiore, Stephen M., Warta, Samantha F., Best, Andrew, Newton, Olivia, LaViola, Joseph J.
• Format: Article
• Language: English
• ISSN: 1541-9312; 1071-1813; 2169-5067
• DOI: 10.1177/1541931213601781

This paper describes initial validation of a theoretical framework to support research on the visualization of uncertainty. Two experiments replicated and extended this framework, illustrating how the manipulation of task complexity produces differences in performance. Additionally, using a combinatory metric of workload and performance, this framework provides a new metric for assessing uncertainty visualization. We describe how this work acts as a theoretical scaffold for examining differing forms of visualizations of uncertainty by providing a means for systematic variations in task context.