AUTHOR=Zhou Ying , Liu Zhengjiang , Wang Xinjian , Xie Hui , Tao Juncheng , Wang Jin , Yang Zaili 

TITLE=Human errors analysis for remotely controlled ships during collision avoidance

JOURNAL=Frontiers in Marine Science

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2024.1473367

DOI=10.3389/fmars.2024.1473367

ISSN=2296-7745

ABSTRACT=To address human errors in collision avoidance tasks of remotely operated ships, this study proposes a comprehensive framework for human error analysis. Firstly, the Hierarchical Task Analysis method is utilized to identify crew collision avoidance tasks associated with the traditional ship, and these tasks are then dissected into different operational stages using the Information Decision Action in a Crew cognitive model. Secondly, a combination of the fault hypothesis method and expert opinions are used to identify potential human error that may occur during collision avoidance operations of remotely operated ships. Thirdly, an integrated approach is proposed to build a quantitative risk assessment model, which combines Failure Mode and Effects Analysis (FMEA), Evidential Reasoning (ER), and Belief rules-based Bayesian Network (BBN). Then, axiomatic analysis is used to verify the robustness and applicability of the risk assessment model. Finally, based on the results of quantitative risk assessment, specific measures are proposed for enhancing the safety of collision avoidance process of remotely operated ships. The findings show that uncoordinated interaction of human-computer systems during the decision-making stage is a pivotal factor in the collision avoidance process. Therefore, future design efforts for Remote Operation Centre prioritize improving the clarity of human-computer interaction interfaces.