Developing A Theoretical Framework of Task Complexity for Research on Visualization in Support of Decision Making Under Uncertainty. (September 2017)

• Record Type: Journal Article
• Authors: Fiore, Stephen M.; Warta, Samantha F.; Best, Andrew; Newton, Olivia; LaViola, Joseph J.
• Is Part Of: Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Volume 61:Part 1(2017)
• Page Start: 1193
• Page End: 1197
• Publication Date: 2017-09
• Subjects: Human engineering -- Congresses; 620.8205
• DOI: 10.1177/1541931213601781
• Languages: English
• ISSNs: 1541-9312

Abstract

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.