Title
Developing A Theoretical Framework Of Task Complexity For Research On Visualization In Support Of Decision Making Under Uncertainty
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.
Publication Date
1-1-2017
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
2017-October
Number of Pages
1193-1197
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1541931213601781
Copyright Status
Unknown
Socpus ID
85042498198 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85042498198
STARS Citation
Fiore, Stephen M.; Warta, Samantha F.; Best, Andrew; Newton, Olivia; and La Viola, Joseph J., "Developing A Theoretical Framework Of Task Complexity For Research On Visualization In Support Of Decision Making Under Uncertainty" (2017). Scopus Export 2015-2019. 6947.
https://stars.library.ucf.edu/scopus2015/6947