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Air-traffic-controllers (ATCO): neurophysiological analysis of training and workload

Pietro Aricò 1 Gianluca Borghini 2 Ilenia Graziani 1 Jean-Paul Imbert 3 Géraud Granger 4 Raïlane Benhacene 4 Simone Pozzi 5 Linda Napoletano 5 Gianluca Di Flumeri 1 Alfredo Colosimo 1 Fabio Babiloni 2
1 Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
2 Dept. Human Physiology
3 LII - ENAC - Equipe Informatique Interactive
ENAC - Ecole Nationale de l'Aviation Civile
4 IHM Aero - ENAC - Programme transverse IHM Aéronautique
ENAC - Ecole Nationale de l'Aviation Civile
5 Deep Blue Research and Consulting
Abstract : The aim of this paper is to present an extensive neurophysiological study of the Air-Traffic-Controllers (ATCOs) during en route Air Traffic Control (ATC) simulations. In other words, the purpose was to extract neurophysiological features suitable for the evaluation of the learning progress and for the real-time estimation of the user's workload level.
Keywords : EEG ECG EOG cognitive learning training assessment mental workload ATM ATCO
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Submitted on : Friday, September 4, 2015 - 4:41:08 PM
Last modification on : Wednesday, November 3, 2021 - 2:18:09 PM
Long-term archiving on: : Saturday, December 5, 2015 - 1:45:01 PM

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Pietro Aricò, Gianluca Borghini, Ilenia Graziani, Jean-Paul Imbert, Géraud Granger, et al.. Air-traffic-controllers (ATCO): neurophysiological analysis of training and workload. Italian Journal of Aerospace Medicine, Italian Society of Aerospace Medicine (AIMAS), 2015, pp.35. ⟨hal-01193177⟩

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