Human Factors and Neurophysiological Metrics in Air Traffic Control: a Critical Review

Pietro Aricò (1) , Gianluca Borghini (1) , Gianluca Di Flumeri (1) , Stefano Bonelli (2) , Alessia Golfetti (2) , Ilenia Graziani (3) , Simone Pozzi (2) , Jean-Paul Imbert (4) , Géraud Granger (5) , Raïlane Benhacene (5) , Dirk Schäfer (6) , Fabio Babiloni (1)

1 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
2 Deep Blue Research and Consulting
3 Dept. Human Physiology
4 LII - ENAC - Equipe Informatique Interactive
5 ENAC - Ecole Nationale de l'Aviation Civile
6 Division Technical Systems

This article provides the reader a focused and organised review of the research progresses on neurophysiological indicators, also called “neurometrics”, to show how neurometrics could effectively address some of the most important Human Factors (HFs) needs in the Air Traffic Management (ATM) field. The state of the art on the most involved HFs and related cognitive processes (e.g. mental workload, cognitive training) is presented together with examples of possible applications in the current and future ATM scenarios, in order to better understand and highlight the available opportunities of such neuroscientific applications. Furthermore, the paper will discuss the potential enhancement that further research and development activities could bring to the efficiency and safety of the ATM service.

Mots clés: Europe; Automation; Air traffic control; Safety; Human factors; Hafnium; Training

Domaines: Informatique [cs]; Interface homme-machine [cs.HC]; Sciences du Vivant [q-bio]; Neurosciences [q-bio.NC]; Sciences du Vivant [q-bio]; Ingénierie biomédicale

Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Stefano Bonelli, Alessia Golfetti, et al.. Human Factors and Neurophysiological Metrics in Air Traffic Control: a Critical Review. IEEE Reviews in Biomedical Engineering, 2017, ⟨10.1109/RBME.2017.2694142⟩. ⟨hal-01511343⟩