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Norwegian Open Research Archives
Part of book or chapter of book . 2019
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SINTEF Open
Part of book or chapter of book . 2019
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Human Factors Issues in Maritime Autonomous Surface Ship Systems Development

Authors: Karvonen, Hannu; Martio, Jussi;

Human Factors Issues in Maritime Autonomous Surface Ship Systems Development

Abstract

The human side of highly automated maritime systems can often be neglected in their development. Paradoxically, history and scientific studies have shown that with highly automated systems, there is still a crucial need for humans to monitor the automated operations. Humans also need to intervene to and control the automated operations particularly in exceptional situations and maintenance operations. Therefore, especially human factors engineering is in a key role when developing maritime autonomous surface ship (MASS) systems. This paper discusses some of the related issues, like automation awareness, cognitive workload, trust in automation and technology acceptance that should be considered in detail when developing MASS solutions. A case study is presented on the development of a ship-handling simulator with an autonomous ship collision avoidance system and it is discussed how to apply the simulator to human factors-oriented studies of MASS systems design and evaluation. The design implications for MASS development on a more general level are also presented. By taking the human aspects of MASS systems as a central focus point in the development, it is possible to create safe and successful maritime innovations for the future.

Country
Norway
Related Organizations
Keywords

VDP::Teknologi: 500, Systems development, Collision avoidance, VDP::Teknologi: 500::Marin teknologi: 580, Human factors, Maritime autonomous surface ships

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green