Bayesian modeling of pilot belief and visual misperception in helicopter overland navigation
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Authors
Yang, Ji Hyun
Kennedy, Quinn
Sullivan, Joseph
Day, Michael
Subjects
mispercetion
visual perception
Bayesian modeling
cognition
navigation
visual perception
Bayesian modeling
cognition
navigation
Advisors
Date of Issue
2011
Date
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Abstract
This paper aims to provide a framework to model
human belief and misperception in helicopter overland
navigation. Helicopter overland navigation is known to be a
challenging cognitive task, and understanding the cognitive
processes associated with it is non-trivial. Twelve military
personnel participated in the study and statistical analysis
showed that their gaze parameters can be predicted by their level
of expertise. Some pilots showed common visual misperception
during the navigation task, which can be explained by the
following errors: 1) confusion between inference and evidence, 2)
incorrect mutually exclusive assumptions on the data, and 3)
biased sampling. Simulation results on two cases observed in the
experiments are given. Quantitative differences in dynamic
perceptions between a Bayesian agent and misperceiving humans
are presented with the suggested modeling framework.
Type
Article
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Department
Modeling, Virtual Environments, and Simulation Institute (MOVES)
Operations Research
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.