Seafarers' Distraction: A Multi-Factorial Analysis of Behaviors, EEG Activities, and Environmental Influences

Seafarers' distraction is a major safety hazard. However, there is a lack of research on seafarers' distraction during real navigation. To fill the gap, this study conducted a naturalistic observation of seafarers' activities during real navigation. A series of seafarers' distracted behaviors, including chatting, using smart phone, leaving without the permission, etc., were identified and recorded. Seafarers' demographics, navigation data, EEG activities and video data were also collected. Significant analysis, correlation analysis, and multiple logit regression analysis were used subsequently to explore the multiple influencing factors of seafarers' distracted behaviors. The results indicate that seafarer distraction is widespread, significantly influenced by work duty, present navigation task and work time period. When the seafarer distracted, their EEG power of the alpha, beta, and theta bands would increase, which can help identify distraction. This study can provide guidance for reducing seafarers' distraction and improving navigation safety, i.e., design targeted safety training, improve night shift arrangements, and ensure rest schedules.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ecis65594.2025.11086888
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seafarers' Distraction: A Multi-Factorial Analysis of Behaviors, EEG Activities, and Environmental Influences

Liu Yang, Ailong Fan, Xiaoqing Cheng, Mingshuang Li
1 links
Maritime Navigation and Safety
article

Seafarers' Distraction: A Multi-Factorial Analysis of Behaviors, EEG Activities, and Environmental Influences

Liu Yang, Ailong Fan, Xiaoqing Cheng, Mingshuang Li
article en

Abstract

Seafarers' distraction is a major safety hazard. However, there is a lack of research on seafarers' distraction during real navigation. To fill the gap, this study conducted a naturalistic observation of seafarers' activities during real navigation. A series of seafarers' distracted behaviors, including chatting, using smart phone, leaving without the permission, etc., were identified and recorded. Seafarers' demographics, navigation data, EEG activities and video data were also collected. Significant analysis, correlation analysis, and multiple logit regression analysis were used subsequently to explore the multiple influencing factors of seafarers' distracted behaviors. The results indicate that seafarer distraction is widespread, significantly influenced by work duty, present navigation task and work time period. When the seafarer distracted, their EEG power of the alpha, beta, and theta bands would increase, which can help identify distraction. This study can provide guidance for reducing seafarers' distraction and improving navigation safety, i.e., design targeted safety training, improve night shift arrangements, and ensure rest schedules.

Wuhan University of Technology (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 75%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Seafarers' Distraction: A Multi-Factorial Analysis of Behaviors, EEG Activities, and Environmental Influences — Liu Yang, Ailong Fan, et al. · (2025) | TGRS Research Map | TGRS