Pilot Performance: Assessing How Scan Patterns & Navigational Assessments Vary by Flight Expertise

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Authors
Yang, Ji Hyun
Kennedy, Quinn
Sullivan, Joseph
Fricker, Ronald D. Jr.
Subjects
expertise
scan strategy
cognition
subjective assessment
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Date of Issue
2013-02
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Abstract
Introduction: Helicopter overland navigation is a cognitively complex task that requires continuous monitoring of system and environmental parameters and many hours of training to master. This study investigated the effect of expertise on pilots ’ gaze measurements, navigation accuracy, and subjective assessment of their navigation accuracy in overland navigation on easy and diffi cult routes. Methods: A simulated overland task was completed by 12 military offi cers who ranged in fl ight experience as measured by total fl ight hours (TFH). They fi rst studied a map of a route that included both easy and diffi cult route sections, and then had to ‘ fl y ’ this simulated route in a fi xed-base helicopter simulator. They also completed pre-task estimations and post-task assessments of the navigational diffi culty of the transit to each waypoint in the route. Their scan pattern was tracked via eye tracking systems, which captured both the subject ’ s out-the-window (OTW) and topographical map scan data. Results: TFH was not associated with navigation accuracy or root mean square (RMS) error for any route section. For the easy routes, experts spent less time scanning out the window ( r 5 2 0.61) and had shorter OTW dwell ( r 5 2 0.66). For the diffi cult routes, experts appeared to slow down their scan by spending as much time scanning out the window as the novices while also having fewer Map fi xations ( r 5 2 0.65) and shorter OTW dwell ( r 5 2 0.69). However, TFH was not signi fi cantly correlated with more accurate estimates of route diffi culty. Discussion: This study found that TFH did not predict navigation accuracy or subjective assessment, but was correlated with some gaze parameters.
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Article
Description
The article of record as published may be located at http://dx.doi.org/10.3357/ASEM.3372.2013
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Modeling, Virtual Environments, and Simulation Institute (MOVES)
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Aviation, Space, and Environmental Medicine, Vol. 84, No. 2, February 2013
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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.