Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators' Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator.

attention human factors maritime mental workload neurophysiology safety stress

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
14 Sep 2023
Historique:
received: 01 08 2023
revised: 01 09 2023
accepted: 08 09 2023
medline: 28 9 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

The current industrial environment relies heavily on maritime transportation. Despite the continuous technological advances for the development of innovative safety software and hardware systems, there is a consistent gap in the scientific literature regarding the objective evaluation of the performance of maritime operators. The human factor is profoundly affected by changes in human performance or psychological state. The difficulty lies in the fact that the technology, tools, and protocols for investigating human performance are not fully mature or suitable for experimental investigation. The present research aims to integrate these two concepts by (i) objectively characterizing the psychological state of mariners, i.e., mental workload, stress, and attention, through their electroencephalographic (EEG) signal analysis, and (ii) validating an innovative safety framework countermeasure, defined as Human Risk-Informed Design (HURID), through the aforementioned neurophysiological approach. The proposed study involved 26 mariners within a high-fidelity bridge simulator while encountering collision risk in congested waters with and without the HURID. Subjective, behavioral, and neurophysiological data, i.e., EEG, were collected throughout the experimental activities. The results showed that the participants experienced a statistically significant higher mental workload and stress while performing the maritime activities without the HURID, while their attention level was statistically lower compared to the condition in which they performed the experiments with the HURID (all

Identifiants

pubmed: 37759921
pii: brainsci13091319
doi: 10.3390/brainsci13091319
pmc: PMC10526160
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : European Council
ID : 814961

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Auteurs

Vincenzo Ronca (V)

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Roma, Italy.
BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.

Esma Uflaz (E)

Department of Maritime Transportation and Management Engineering, Istanbul Technical University, Tuzla, Istanbul 34485, Turkey.

Osman Turan (O)

Maritime Human Factors Centre, Histological, Forensic and Orthopaedic Sciences, University of Strathclyde Glasgow, Glasgow G1 1XQ, UK.

Hadi Bantan (H)

Maritime Human Factors Centre, Histological, Forensic and Orthopaedic Sciences, University of Strathclyde Glasgow, Glasgow G1 1XQ, UK.

Scott N MacKinnon (SN)

Department of Mechanics and Maritime Sciences, Chalmers University of Technology, 41296 Gothenburg, Sweden.

Andrea Lommi (A)

Cetena SpA, 16121 Rome, Italy.

Simone Pozzi (S)

DeepBlue srl, 00185 Rome, Italy.

Rafet Emek Kurt (RE)

Maritime Human Factors Centre, Histological, Forensic and Orthopaedic Sciences, University of Strathclyde Glasgow, Glasgow G1 1XQ, UK.

Ozcan Arslan (O)

Department of Maritime Transportation and Management Engineering, Istanbul Technical University, Tuzla, Istanbul 34485, Turkey.

Yasin Burak Kurt (YB)

Maritime Human Factors Centre, Histological, Forensic and Orthopaedic Sciences, University of Strathclyde Glasgow, Glasgow G1 1XQ, UK.

Pelin Erdem (P)

Maritime Human Factors Centre, Histological, Forensic and Orthopaedic Sciences, University of Strathclyde Glasgow, Glasgow G1 1XQ, UK.

Emre Akyuz (E)

Department of Maritime Transportation and Management Engineering, Istanbul Technical University, Tuzla, Istanbul 34485, Turkey.

Alessia Vozzi (A)

BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.
Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00185 Roma, Italy.

Gianluca Di Flumeri (G)

BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Roma, Italy.

Pietro Aricò (P)

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Roma, Italy.
BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.

Andrea Giorgi (A)

BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.
Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00185 Roma, Italy.

Rossella Capotorto (R)

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Roma, Italy.
BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.

Fabio Babiloni (F)

BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Roma, Italy.
College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310005, China.

Gianluca Borghini (G)

BrainSigns Srl, Industrial Neurosciences Lab, 00198 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, 00185 Roma, Italy.

Classifications MeSH