Wang, Z, Zhang, J, Mao, Z, Fan, S, Wang, Z and Wang, H (2022) Emotional State Evaluation during Collision Avoidance Operations of Seafarers Using Ship Bridge Simulator and Wearable EEG. In: 6th International Conference on Transportation Information and Safety: New Infrastructure Construction for Better Transportation, ICTIS 2021 . pp. 415-422. (2021 6th International Conference on Transportation Information and Safety (ICTIS), Wuhan, China).

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Abstract

Seafarers' emotional states (e.g., pleasure, displeasure, excitement, and stress) has been proved as a critical factor that affects their performance during collision avoidance operations. The emotion can be quantified using an electroencephalogram (EEG) sensor to reflect its correlations with human performance. Given the advantages of wearable EEG (portable, wireless and high resolutions), it provides an effective method for non-intrusive emotion measurement. This study conducted experiments to measure the emotional states of the seafarers. Firstly, two encounter situations based on the ship bridge simulator were formulated for the test. During the experiments, the participants were required to wear an EEG that measures brain activity reflecting the emotional states of seafarers while operating using the ship bridge simulator. At the same time, the trajectories of vessel movement were recorded accordingly. Next, a bipolar dimensional emotion model consisting of valence (from displeasure to pleasure) and arousal (from relaxation to excitement) dimensions, was generated to identify seafarers' emotional states. Integrated with vessel trajectory data (such as rudder angle, ship speed, etc.), the correlation analysis was conducted to explore the patterns of seafarers' emotion during collision avoidance operations. The results show that the emotional states of seafarers varied in different ship encounter situations and were closely related to the vessel trajectory. Also, it demonstrated the applicability of wearable EEG technology in emotional state evaluations for seafarers.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HE Transportation and Communications T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering
Divisions:	Engineering
Publisher:	IEEE
SWORD Depositor:	A Symplectic
Date Deposited:	21 Nov 2022 12:35
Last Modified:	21 Nov 2022 12:35
DOI or ID number:	10.1109/ICTIS54573.2021.9798643
URI:	https://researchonline.ljmu.ac.uk/id/eprint/17691

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