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Cognitive fatigue assessment in operational settings: a review and UAS implications

Abstract : Recent technological improvements allow UAS (Unmanned Aircraft System) operators to carry out increasingly long missions. Shift work was introduced during long-endurance missions to reduce the risk of fatigue. However, despite these short work periods and the creation of a fatigue risk management system (FRMS), the occurrence of intense and monotonous phases remains a factor of cognitive fatigue. This fatigue can have an impact on vigilance, attention, and operator performance, leading to reduce mission safety. This paper aims at presenting different ways to characterize the cognitive fatigue of UAS operators. The use of machine learning to estimate cognitive fatigue based on physiological measures is also presented as a promising venue to mitigate these issues.
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https://hal.archives-ouvertes.fr/hal-03254696
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Wednesday, June 9, 2021 - 9:39:44 AM
Last modification on : Monday, June 14, 2021 - 4:06:07 PM
Long-term archiving on: : Friday, September 10, 2021 - 6:10:24 PM

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Emilie Jahanpour, Bruno Berberian, Jean-Paul Imbert, Raphaëlle N. Roy. Cognitive fatigue assessment in operational settings: a review and UAS implications. 3rd IFAC Conference on Cyber-Physical & Human-Systems - CPHS 2020, Dec 2020, Shanghai, China. pp.330-337, ⟨10.1016/j.ifacol.2021.04.188⟩. ⟨hal-03254696⟩

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