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Estimating Pilots' Cognitive Load From Ocular Parameters Through Simulation and In-Flight Studies

Babu, M. Dilli and Shree, Jeevitha D and Prabhakar, Gowdham and Saluja, Kamal Preet Singh and Pashilkar, Abhay and Biswas, Pradipta (2019) Estimating Pilots' Cognitive Load From Ocular Parameters Through Simulation and In-Flight Studies. In: JOURNAL OF EYE MOVEMENT RESEARCH, 12 (3).

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Official URL: https://bop.unibe.ch/JEMR/issue/view/899

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. In the first study, we used a fixed base variable stability flight simulator with longitudinal tracking task and collected data from 14 military pilots. In a second study, we undertook four test flights with BAES Hawk Trainer and Jaguar aircrafts 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. It also significantly correlated with rate of descent during air to ground dive training task, normal load factor (G) of the aircraft during constant G level turn maneuvers 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: Journal Article
Publication: JOURNAL OF EYE MOVEMENT RESEARCH
Publisher: INT GROUP EYE MOVEMENT RESEARCH
Additional Information: Copyright of this article belongs to INT GROUP EYE MOVEMENT RESEARCH
Keywords: Cognitive Load; eye gaze tracking; aviation safety; pupil dilation; fixation; saccades
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 03 Jan 2020 10:01
Last Modified: 26 Aug 2022 09:59
URI: https://eprints.iisc.ac.in/id/eprint/64223

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