How Does Cognitive Fatigue and Mental Workload Influence Alarm Detection in Flight Simulator? Classification of Electrophysiological Signatures with Explainable IA

Massé Eva, Bartheye Olivier, Fabre Ludovic

2022

Abstract

Relevant sounds such as alarms are sometimes involuntarily ignored, a phenomenon called inattentional deafness. This phenomenon occurs under specific conditions including high workload (i.e., multi-tasking) and/or cognitive fatigue. In the context of aviation, such an error can have drastic consequences on flight safety. The present study used an Oddball paradigm in which participants had to detect rare sounds in an ecological context of simulated flight. Cognitive fatigue and cognitive load were manipulated to trigger inattentional deafness, and brain activity was recorded via EEG. Our results showed that alarm omission and alarm detection can be classified based on a time-frequency analysis of brain activity. We reached a maximum accuracy of 76.4% when the algorithm was trained on all participants and a maximum of 90.5%, on one participant, when the algorithm was trained individually. This method can benefit from explainable artificial intelligence to develop efficient and understandable passive Brain-Computer Interfaces, to improve flight safety by detecting such attentional failures in real-time and giving appropriate feedback to pilots, according to our ambitious goal: providing them reliable and rich human/machine interactions.

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Paper Citation


in Harvard Style

Eva M., Olivier B. and Ludovic F. (2022). How Does Cognitive Fatigue and Mental Workload Influence Alarm Detection in Flight Simulator? Classification of Electrophysiological Signatures with Explainable IA. In Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS; ISBN 978-989-758-657-6, SciTePress, pages 47-51. DOI: 10.5220/0011958100003622


in Bibtex Style

@conference{iccas22,
author={Massé Eva and Bartheye Olivier and Fabre Ludovic},
title={How Does Cognitive Fatigue and Mental Workload Influence Alarm Detection in Flight Simulator? Classification of Electrophysiological Signatures with Explainable IA},
booktitle={Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS},
year={2022},
pages={47-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011958100003622},
isbn={978-989-758-657-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS
TI - How Does Cognitive Fatigue and Mental Workload Influence Alarm Detection in Flight Simulator? Classification of Electrophysiological Signatures with Explainable IA
SN - 978-989-758-657-6
AU - Eva M.
AU - Olivier B.
AU - Ludovic F.
PY - 2022
SP - 47
EP - 51
DO - 10.5220/0011958100003622
PB - SciTePress