The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments.
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.
University of Virginia, Charlottesville, Virginia, USA.
Ellen J
EJ
Bass
University of Virginia, Charlottesville, Virginia, USA.
Leigh A
LA
Baumgart
University of Virginia, Charlottesville, Virginia, USA.
Kathryn Klein
KK
Shepley
automation display content; human-automated judge learning; human-automation interaction; judgment analysis