An Approach to Prediction of Mental Resilience in Fighter Pilot Selection

Krešimir Ćosić, Siniša Popović, Marko Šarlija, Ivan Kesedžić, Mate Gambiraža

2022

Abstract

It is well known that human factors are associated with a substantial number of military aviation accidents. To avoid such catastrophic events, continuous enhancement of pilot selection processes using state-of-the-art scientific research results is needed since traditionally used self-report paper-and-pencil personality measures are highly prone to self-report bias. Based on our multidisciplinary research on stress, cognitive and fatigue resilience, we propose an approach for prediction of mental resilience which is based on: stress resilience features, like startle reactivity, respiratory sinus arrhythmia, cardiac allostasis; cognitive resilience features related to cognitive workload/overload, situational awareness, cognitive appraisal etc.; and fatigue resilience features, like dynamics of saccades, eye blink rates etc. These clusters of features mainly reflect interactions among all human brain regions, and their multimodal fusion may enhance assessment of pilots’ mental resilience and combat readiness.

Paper Citation

in Harvard Style

Ćosić K., Popović S., Šarlija M., Kesedžić I. and Gambiraža M. (2022). An Approach to Prediction of Mental Resilience in Fighter Pilot Selection. In Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS; ISBN 978-989-758-657-6, SciTePress, pages 83-87. DOI: 10.5220/0011963800003622

in Bibtex Style

@conference{iccas22,
author={Krešimir Ćosić and Siniša Popović and Marko Šarlija and Ivan Kesedžić and Mate Gambiraža},
title={An Approach to Prediction of Mental Resilience in Fighter Pilot Selection},
booktitle={Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS},
year={2022},
pages={83-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011963800003622},
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 - An Approach to Prediction of Mental Resilience in Fighter Pilot Selection
SN - 978-989-758-657-6
AU - Ćosić K.
AU - Popović S.
AU - Šarlija M.
AU - Kesedžić I.
AU - Gambiraža M.
PY - 2022
SP - 83
EP - 87
DO - 10.5220/0011963800003622
PB - SciTePress