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What factors may influence decision-making in the operation of maritime autonomous surface ships?: a systematic review

What factors may influence decision-making in the operation of maritime autonomous surface ships?: a systematic review
What factors may influence decision-making in the operation of maritime autonomous surface ships?: a systematic review
Maritime Autonomous Surface Ships (MASS) are being introduced with high levels of autonomy. This means that not only the role of the human operator is changing but also the way in which operations are performed. MASS are expected to be un-crewed platforms that are operated from a Remote Control Centre (RCC). As such, the concept of human-machine teams is important. The operation of MASS however shares some resemblance to other un-crewed platforms (e.g. Un-crewed Aerial Vehicles; UAVs) and it may be that lessons could be learned in relation to the development of MASS systems.

A systematic literature review has been conducted, focusing on decision making, to generate insights into operating un-crewed vehicle platforms and design recommendations for MASS. Seven themes were revealed: decision support systems, trust, transparency, teams, task/role allocation, accountability and situation awareness. A Network Model was developed to show the interconnections between these themes which was then applied to a case study of an UAV accident. The purpose of doing this was to demonstrate the utility of the model to real-world scenarios and showed how each theme applied within the human-machine team.
Decision making, humanmachine teams, maritime autonomous surface ships
1464-536X
Lynch, Kirsty M.
b0bd6d0a-9cd7-4bf7-92ab-949c9d31eb65
Banks, Victoria A.
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Roberts, Aaron P.J.
024289ac-44bb-4b7a-9c58-28f08e2bc2f9
Radcliffe, Stewart
b37e358c-704c-40ff-a06d-a09ad4ca7e92
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
Lynch, Kirsty M.
b0bd6d0a-9cd7-4bf7-92ab-949c9d31eb65
Banks, Victoria A.
5b50d5cd-2dc5-463a-aaf8-b60764db7108
Roberts, Aaron P.J.
024289ac-44bb-4b7a-9c58-28f08e2bc2f9
Radcliffe, Stewart
b37e358c-704c-40ff-a06d-a09ad4ca7e92
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78

Lynch, Kirsty M., Banks, Victoria A., Roberts, Aaron P.J., Radcliffe, Stewart and Plant, Katherine L. (2022) What factors may influence decision-making in the operation of maritime autonomous surface ships?: a systematic review. Theoretical Issues in Ergonomics Science. (doi:10.1080/1463922X.2022.2152900).

Record type: Article

Abstract

Maritime Autonomous Surface Ships (MASS) are being introduced with high levels of autonomy. This means that not only the role of the human operator is changing but also the way in which operations are performed. MASS are expected to be un-crewed platforms that are operated from a Remote Control Centre (RCC). As such, the concept of human-machine teams is important. The operation of MASS however shares some resemblance to other un-crewed platforms (e.g. Un-crewed Aerial Vehicles; UAVs) and it may be that lessons could be learned in relation to the development of MASS systems.

A systematic literature review has been conducted, focusing on decision making, to generate insights into operating un-crewed vehicle platforms and design recommendations for MASS. Seven themes were revealed: decision support systems, trust, transparency, teams, task/role allocation, accountability and situation awareness. A Network Model was developed to show the interconnections between these themes which was then applied to a case study of an UAV accident. The purpose of doing this was to demonstrate the utility of the model to real-world scenarios and showed how each theme applied within the human-machine team.

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Accepted/In Press date: 23 November 2022
Published date: 8 December 2022
Additional Information: Funding: This research was funded by Thales UK and the Engineering and Physical Science Research Council.
Keywords: Decision making, humanmachine teams, maritime autonomous surface ships

Identifiers

Local EPrints ID: 473944
URI: http://eprints.soton.ac.uk/id/eprint/473944
ISSN: 1464-536X
PURE UUID: 2326d0d4-ca59-4385-850d-bf7b894e62e5
ORCID for Kirsty M. Lynch: ORCID iD orcid.org/0000-0003-4952-3964
ORCID for Katherine L. Plant: ORCID iD orcid.org/0000-0002-4532-2818

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Date deposited: 06 Feb 2023 17:36
Last modified: 17 Mar 2024 04:04

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Contributors

Author: Kirsty M. Lynch ORCID iD
Author: Victoria A. Banks
Author: Aaron P.J. Roberts
Author: Stewart Radcliffe

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