Understanding cognitive processes of helicopter navigation by characterizing visual scan patterns: What they see vs. what they believe
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Authors
Yang, Ji Hyun
Cowden, Bradley
Kennedy, Quinn
Schramm, Harrison
Sullivan, Joseph
Subjects
mispercetion
visual perception
Bayesian modeling
cognition
navigation
visual perception
Bayesian modeling
cognition
navigation
Advisors
Date of Issue
2012
Date
Publisher
Language
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. Two sets of human-inthe-
loop experiments were conducted to investigate pilot
misperception during simulated overland navigation by
analyzing actual navigation trajectory, pilots’ alleged location,
and corresponding confidence levels. No significant correlation
between perceived and actual location of the aircraft was found,
indicating that confidence is not a good indicator of performance.
There is however some evidence that there is a negative
correlation between perceived location and intended route of
flight, suggesting that there is a perception bias towards the
intended flight route. Observed visual misperception can be
summarized into: 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
Description
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Department
Operations Research
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Citation
Yang, J., Cowden, B., Kennedy, Q., Schramm, H., & Sullivan, J. (2012) "Understanding cognitive processes of helicopter navigation by characterizing visual scan patterns." The 4th International Symposium on Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
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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.