A systematic literature review of Human-Machine Cooperation in Maritime Autonomous Surface Ships
A systematic literature review of Human-Machine Cooperation in Maritime Autonomous Surface Ships
This study presents a systematic critical literature review examining the core technologies in Maritime Autonomous Surface Ships through the lens of Human-Machine Cooperation. Existing reviews primarily focus on technical performance, whereas this work emphasises how technological advancements are reshaping seafarer roles by shifting them from onboard operators and decision-makers to remote supervisors and collaborative partners. Furthermore, the review identifies key research gaps in current Human-Machine Cooperation practices, such as the lack of transparency, inadequate operator training, and limited human-centred design. To address these challenges, it proposes targeted recommendations and strategic insights. The findings contribute to a deeper understanding of human-autonomy interaction and offer strategic directions for designing future MASS systems that are both technologically advanced and human-aware.
Xiang, Jiale
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Blanco-Davis, Eddie
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Xin, Xuri
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Li, Huanhuan
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Hifi, Nabile
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Wang, Jin
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Yang, Zaili
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Xiang, Jiale
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Blanco-Davis, Eddie
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Xin, Xuri
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Li, Huanhuan
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Hifi, Nabile
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Wang, Jin
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Yang, Zaili
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Xiang, Jiale, Blanco-Davis, Eddie, Xin, Xuri, Li, Huanhuan, Hifi, Nabile, Wang, Jin and Yang, Zaili
(2025)
A systematic literature review of Human-Machine Cooperation in Maritime Autonomous Surface Ships.
Autonomous Transportation Research.
(doi:10.1016/j.atres.2025.10.001).
Abstract
This study presents a systematic critical literature review examining the core technologies in Maritime Autonomous Surface Ships through the lens of Human-Machine Cooperation. Existing reviews primarily focus on technical performance, whereas this work emphasises how technological advancements are reshaping seafarer roles by shifting them from onboard operators and decision-makers to remote supervisors and collaborative partners. Furthermore, the review identifies key research gaps in current Human-Machine Cooperation practices, such as the lack of transparency, inadequate operator training, and limited human-centred design. To address these challenges, it proposes targeted recommendations and strategic insights. The findings contribute to a deeper understanding of human-autonomy interaction and offer strategic directions for designing future MASS systems that are both technologically advanced and human-aware.
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Accepted/In Press date: 20 October 2025
e-pub ahead of print date: 22 October 2025
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Local EPrints ID: 507123
URI: http://eprints.soton.ac.uk/id/eprint/507123
PURE UUID: e0c8bd44-4d73-45e0-9887-9f1ff4a8a3ab
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Date deposited: 27 Nov 2025 17:41
Last modified: 28 Nov 2025 03:09
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Contributors
Author:
Jiale Xiang
Author:
Eddie Blanco-Davis
Author:
Xuri Xin
Author:
Huanhuan Li
Author:
Nabile Hifi
Author:
Jin Wang
Author:
Zaili Yang
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