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 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
2 Dept. Human Physiology
3 LII - ENAC - Equipe Informatique Interactive
4 IHM Aero - ENAC - Programme transverse IHM Aéronautique
5 Deep Blue Research and Consulting

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.

Mots clés: EEG; ECG; EOG; cognitive learning; training assessment; mental workload; ATM; ATCO

Domaines: Informatique

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, 2015, 12, pp.35. ⟨hal-01193177⟩