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Using Eye gaze tracker to automatically estimate pilots' cognitive load

Babu, MD and Prabhakar, G and Jeevithashree, DV and Saluja, KPS and Pashilkar, A and Biswas, P (2019) Using Eye gaze tracker to automatically estimate pilots' cognitive load. In: 50th Annual International Symposium of the Society of Flight Test Engineers, SFTE 2019, 10 - 14 June 2019, Toulouse, pp. 237-247.

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Abstract

Eye tracking is the process of measuring either the point of gaze (where one is looking) or the motion of an eye relative to the head. This paper investigated use of eye gaze trackers in military aviation environment to automatically estimate pilot's cognitive load from ocular parameters. We used a fixed base variable stability flight simulator with longitudinal tracking task and collected data from 14 military pilots. In another study, we undertook three test flights with a BAES Hawk Trainer aircraft doing air to ground attack training missions and constant G level turn maneuvers up to +5G. Our study found that ocular parameters like rate of fixation is significantly different in different flying conditions and pilot's control inceptor and tracking error in simulation tasks. Results from our studies can be used for real time estimation of pilots' cognitive load, providing suitable warnings and alerts to the pilot in cockpit and training of military pilots on cognitive load management during operational missions.

Item Type: Conference Paper
Publication: 50th Annual International Symposium of the Society of Flight Test Engineers, SFTE 2019
Publisher: Society of Flight Test Engineers
Additional Information: The copyright for this article belongs to Society of Flight Test Engineers.
Keywords: Cockpits (aircraft); Eye movements; Flight simulators; Nitrogen fixation; Training aircraft, Air-to-ground attack; Aviation environments; Aviation safety; Cognitive loads; Eye gaze tracking; Operational mission; Pupil dilation; Real-time estimation, Eye tracking
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 05 Dec 2022 05:33
Last Modified: 05 Dec 2022 05:33
URI: https://eprints.iisc.ac.in/id/eprint/78201

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