Journal
JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKING
Volume 7, Issue 1, Pages 49-65Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1555343412453461
Keywords
human-automation interaction; human-automated judge learning; automation display content; judgment analysis
Categories
Funding
- National Institute of Aerospace [UVA-03-01, 3029-VA]
- National Library of Medicine [T15LM009462]
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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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