Investigating decision-making in the operation of Maritime Autonomous Surface Ships using the Schema World Action Research Method
Authors: 
Kirsty Lynch, Katherine Plant, Aaron Roberts, Victoria Banks, Dominic TauntonAuthors Info & Claims
Article No.: 39, Pages 1 - 4
Abstract
Maritime Autonomous Surface Ships (MASS) are expected to improve safety by removing the need for onboard operators so that they can operate uncrewed. However, this may make decision-making for MASS operators more difficult as they will be relocated from onboard to a Remote Control Centre (RCC), therefore they will lack proximity to the ship they are operating and may have reduced situational awareness. In addition, there will potentially be issues surrounding supporting the operator to develop appropriate levels of trust in the automated systems onboard the MASS, which may also influence how MASS operators will make decisions. The Schema World Action Research Method (SWARM) will be used to explore the decision-making process of MASS operators and the challenges associated with operating uncrewed platforms, including questions on how trust may influence the operators’ decision-making processes. The results of the analysis will be used to suggest design requirements for future MASS systems to better support an operator's decision-making process by ensuring that they have the necessary information to make informed decisions.
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Published In
July 2023
426 pages
ISBN:9798400707346
DOI:10.1145/3597512
Copyright © 2023 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 July 2023
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- Extended-abstract
- Research
- Refereed limited
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TAS '23
TAS '23: First International Symposium on Trustworthy Autonomous Systems
July 11 - 12, 2023
Edinburgh, United Kingdom
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