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

Abstract : 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.
Type de document :
Article dans une revue
IEEE Reviews in Biomedical Engineering, 2017, PP (99), <10.1109/RBME.2017.2694142>
Liste complète des métadonnées

https://hal-enac.archives-ouvertes.fr/hal-01511343
Contributeur : Laurence Porte <>
Soumis le : jeudi 20 avril 2017 - 17:48:46
Dernière modification le : jeudi 20 avril 2017 - 17:48:46

Identifiants

Collections

Citation

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, PP (99), <10.1109/RBME.2017.2694142>. <hal-01511343>

Partager

Métriques

Consultations de la notice

18