Cooperation objective evaluation in aviation: validation and comparison of two novel approaches in simulated environment.

approach-withdrawal circular correlation cooperation electroencephalography human factors mental workload mutual information neurophysiological

Journal

Frontiers in neuroinformatics
ISSN: 1662-5196
Titre abrégé: Front Neuroinform
Pays: Switzerland
ID NLM: 101477957

Informations de publication

Date de publication:
2024
Historique:
received: 17 04 2024
accepted: 23 08 2024
medline: 8 10 2024
pubmed: 8 10 2024
entrez: 8 10 2024
Statut: epublish

Résumé

In operational environments, human interaction and cooperation between individuals are critical to efficiency and safety. These states are influenced by individuals' cognitive and emotional states. Human factor research aims to objectively quantify these states to prevent human error and maintain constant performances, particularly in high-risk settings such as aviation, where human error and performance account for a significant portion of accidents. Thus, this study aimed to evaluate and validate two novel methods for assessing the degree of cooperation among professional pilots engaged in real-flight simulation tasks. In addition, the study aimed to assess the ability of the proposed metrics to differentiate between the expertise levels of operating crews based on their levels of cooperation. Eight crews were involved in the experiments, consisting of four crews of Unexperienced pilots and four crews of Experienced pilots. An expert trainer, simulating air traffic management communication on one side and acting as a subject matter expert on the other, provided external evaluations of the pilots' mental states during the simulation. The two novel approaches introduced in this study were formulated based on circular correlation and mutual information techniques. The findings demonstrated the possibility of quantifying cooperation levels among pilots during realistic flight simulations. In addition, cooperation time is found to be significantly higher (

Identifiants

pubmed: 39376698
doi: 10.3389/fninf.2024.1409322
pmc: PMC11457730
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1409322

Informations de copyright

Copyright © 2024 Capotorto, Ronca, Sciaraffa, Borghini, Di Flumeri, Mezzadri, Vozzi, Giorgi, Germano, Babiloni and Aricò.

Déclaration de conflit d'intérêts

VR, NS, GB, GD, AV, AG, FB, and PA were employed by BrainSigns srl. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Rossella Capotorto (R)

Department of Anatomical, Histological, Forensic and Orthopedic Sciences, Sapienza University of Rome, Rome, Italy.

Vincenzo Ronca (V)

BrainSigns srl, Rome, Italy.
Department of Computer, Control, and Management Engineering "Antonio Ruberti", University of Rome "Sapienza", Rome, Italy.

Nicolina Sciaraffa (N)

BrainSigns srl, Rome, Italy.

Gianluca Borghini (G)

BrainSigns srl, Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.

Gianluca Di Flumeri (G)

BrainSigns srl, Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.

Lorenzo Mezzadri (L)

Urbe Aero Flight Academy, Rome, Italy.

Alessia Vozzi (A)

BrainSigns srl, Rome, Italy.

Andrea Giorgi (A)

BrainSigns srl, Rome, Italy.

Daniele Germano (D)

Department of Computer, Control, and Management Engineering "Antonio Ruberti", University of Rome "Sapienza", Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.

Fabio Babiloni (F)

BrainSigns srl, Rome, Italy.
Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy.
Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China.

Pietro Aricò (P)

BrainSigns srl, Rome, Italy.
Department of Computer, Control, and Management Engineering "Antonio Ruberti", University of Rome "Sapienza", Rome, Italy.

Classifications MeSH