Toward Universalizing Common Skills of Ship Navigators

Murai, Koji; Stone, Laurie; Hayashi, Yuki

doi:10.1109/icsmc.2006.384488

Cited by 1 publication

(1 citation statement)

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“…Also, knowledge of sea navigation is processed according to the individual navigator's conscious realism so that the essence of prudent seamanship is formed. This range of the ability, the sensitivity, and the skill for performing navigational tasks differs for each person and is a function of the service experience as well as the variety of encountered conditions (indicated by the different cognitive/mental performance reliability levels for collision and grounding; Murai, Stone, & Hayashi, ).…”

Section: Discussionmentioning

confidence: 99%

Fuzzy logic system interference in ship accidents

Psarros

2018

Hum Ftrs & Erg Mfg Svc

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Poor lookout, lack of situation awareness, and delayed response have been continuously recognized as contributory causes of navigation accidents (i.e., collisions and groundings). It is claimed that such negative behavioral characteristics can be corrected when the navigation system is equipped with the automation capability to intervene upon their detection. Building on the results of my previous work, this study sets the starting line in exploring this technological innovation under a conceptual framework, where it is attempted to employ simple, quantifiable, and measurable ways to assess the deck officer's (navigator's) complex aspect of mental task reliability. To deal with this challenge, the navigator's behavior when performing navigation tasks is described by the Markov method and the uncertainty, ambiguity, and weakness in perceiving accurately the environment and traffic conditions is determined by fuzzy logic. The proposed concept is demonstrated through its practical application in collision and grounding accidents, where it is argued that further research is required for its validation. K E Y W O R D Sautomation, cognitive/mental performance reliability, fuzzy logic, human factors, maritime accidents, Markov method

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Section: Discussionmentioning

confidence: 99%