2020
DOI: 10.3390/jmse8090689
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Capturing Expert Knowledge to Inform Decision Support Technology for Marine Operations

Abstract: The digital transformation of the offshore and maritime industries will present new safety challenges due to the rapid change in technology and underlying gaps in domain knowledge, substantially affecting maritime operations. To help anticipate and address issues that may arise in the move to autonomous maritime operations, this research applies a human-centered approach to developing decision support technology, specifically in the context of ice management operations. New technologies, such as training simul… Show more

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Cited by 10 publications
(4 citation statements)
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References 20 publications
(27 reference statements)
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“…Indonesian seafarers must immediately clean up the ice chips so that the floor above the ship's deck does not become slippery or endanger other seafarers when walking. The results of this research support the findings of similar research, which show that Global Employability Competence does not increase end-user acceptability through Sensory Experience in seafarer crew management companies (Smith et al, 2020;Veitch et al, 2019).…”
Section: Discussionsupporting
confidence: 86%
“…Indonesian seafarers must immediately clean up the ice chips so that the floor above the ship's deck does not become slippery or endanger other seafarers when walking. The results of this research support the findings of similar research, which show that Global Employability Competence does not increase end-user acceptability through Sensory Experience in seafarer crew management companies (Smith et al, 2020;Veitch et al, 2019).…”
Section: Discussionsupporting
confidence: 86%
“…This research proposed a forward-looking adaptive framework for Operator 4.0. From a technical point of view, additional work can be done to improve and optimize the technical performance of the framework in terms of capturing the operator's knowledge and transforming this expert knowledge into a database for the development of a decision support technology [32]. More specifically, future work is required in the specification of the expert-level of the operators.…”
Section: Discussionmentioning
confidence: 99%
“…The aim is to mimic how experienced operators make decisions based on using their experiences to form plausible approaches for new situations. Incremental learning for modeling complicated decisions support systems is required to quickly retrieve information by representing and organizing experts' knowledge [32]. Gathering expert knowledge is vital for the development of (1) specific domain knowledge, needed to generate example solutions, and (2) general domain knowledge, needed to develop the reasoning structure.…”
Section: Decision Support Systemmentioning
confidence: 99%
“…Through doing so, software agents created a method of simulating different behaviors in different situations in order to improve decision-making by facing trainees to different situations in a virtual training environment. Smith et al [63] proposed a methodology to capture the knowledge of expert seafarers and establish a knowledge database to improve decision making capabilities by providing the best operating practice for offshore ice management. They stated that seafarers make the decision and choose their strategy based on different techniques and prescribed approaches they learned from training.…”
Section: Decision Makingmentioning
confidence: 99%