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Accepted (AM)Open Access (License Unspecified), Open
Journal article
The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments
Journal of cognitive engineering and decision making, v 7(1), pp 49-65
01 Mar 2013
PMID: 24847184
Abstract
Displaying both the strategy that information analysis automation employs to makes its judgments and variability in the task environment may improve human judgment performance, especially in cases where this variability impacts the judgment performance of the information analysis automation. This work investigated the contribution of providing either information analysis automation strategy information, task environment information, or both, on human judgment performance in a domain where noisy sensor data are used by both the human and the information analysis automation to make judgments. In a simplified air traffic conflict prediction experiment, 32 participants made probability of horizontal conflict judgments under different display content conditions. After being exposed to the information analysis automation, judgment achievement significantly improved for all participants as compared to judgments without any of the automation's information. Participants provided with additional display content pertaining to cue variability in the task environment had significantly higher aided judgment achievement compared to those provided with only the automation's judgment of a probability of conflict. When designing information analysis automation for environments where the automation's judgment achievement is impacted by noisy environmental data, it may be beneficial to show additional task environment information to the human judge in order to improve judgment performance.
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Details
- Title
- The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments
- Creators
- Ellen J. Bass - University of VirginiaLeigh A. Baumgart - University of VirginiaKathryn Klein Shepley - University of Virginia
- Publication Details
- Journal of cognitive engineering and decision making, v 7(1), pp 49-65
- Publisher
- Sage
- Number of pages
- 17
- Grant note
- UVA-03-01; 3029-VA / National Institute of Aerospace T15LM009462 / National Library of Medicine; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000214199400003
- Scopus ID
- 2-s2.0-84883371288
- Other Identifier
- 991019292222204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Industrial
- Ergonomics
- Psychology, Applied