TY - JOUR
T1 - Neuroscientific tools in the cockpit:towards a meaningful decision support system for fatigue risk management
AU - Papanikou, Maria C.
AU - Frantzidis, Christos A.
AU - Nikolaidou, Anna
AU - Plomariti, Christina
AU - Karagianni, Maria
AU - Nigdelis, Vasilis
AU - Karkala, Aliki
AU - Nday, Christiane
AU - Ntakakis, Giorgos
AU - Krachtis, Akis
AU - Bamidis, Panagiotis D.
AU - Kourtidou-Papadeli, Chrysoula
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
U2 - 10.1051/matecconf/202031401003
DO - 10.1051/matecconf/202031401003
M3 - Article
SN - 2261-236X
VL - 314
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 3
ER -