Issue |
MATEC Web Conf.
Volume 314, 2020
International Cross-Industry Safety Conference (ICSC) – International Symposium on Aircraft Technology, MRO and Operations (ISATECH) (ICSC-ISATECH 2019)
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Article Number | 01003 | |
Number of page(s) | 14 | |
Section | International Cross-Industry Safety Conference | |
DOI | https://doi.org/10.1051/matecconf/202031401003 | |
Published online | 29 May 2020 |
Neuroscientific tools in the cockpit: towards a meaningful decision support system for fatigue risk management
1
Amsterdam University of Applied Sciences, Faculty of Technology, Aviation Academy, The Netherlands
2
Aristotle University of Thessaloniki, Medical School, Laboratory of Medical Physics, Greece
3
Greek Aerospace Medical Association-Space Research, GASMA-SR, Greece
4
AeroMedical Center of Northern Greece, Greece
* Corresponding author: m.papanikou@hva.nl
Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. Our motivation stems from the need for aviation organisations to develop decision support systems for operational aviation settings, able to feed-in in the organisations’ fatigue risk management efforts. Key criteria to this end are the need for the least possible intrusiveness and the added information value for a safety system. Departing from the problems in compliance-focused fatigue risk management and the intrusive nature of clinical studies, we report a neuroscientific methodology able to yield markers that can be easily integrated in a decision support system at the operational level. Reporting the preliminary phase of our live project, we evaluate the tools suitable for the development of a system that tracks subtle pilot states, such as drowsiness and micro-sleep episodes.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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