Evaluation on Brain Activity of Skilled Ship Operators by Near Infra-Red Spectroscopy: Experiment using ship maneuvering simulator

Koji Murai, H. Tamaru, R. Shoji, Eiko Saito, Makiko Minami, K. Kokubun
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Abstract

Automated traffic control is advancing for a variety of vehicles, with the demonstration of unmanned driving and the establishment of technical requirements making particular headway in the automotive field. In the marine sector, steps are also being taken to realize maritime autonomous surface ships (MASS) to reduce transportation costs, protect the environment, and address shortages in seafarer manpower. This includes international efforts, such as an examination of treaty requirements and regulatory hurdles facing MASS at the 103rd session of the Maritime Safety Committee of the International Maritime Organization (IMO MSC103). However, the ultimate issue facing the realization of MASS is the need for unmanned operation to address questions of human recognition and judgment in ship operation that cannot be easily quantified. Therefore, the purpose of this study was to quantify the skills related ship operation, particularly skilled operator-level recognition of maneuvering environments and determination of ship maneuvers.
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近红外光谱评价熟练船舶操作人员脑活动:船舶操纵模拟器实验
各种车辆的自动交通控制正在推进,无人驾驶的示范和技术要求的制定在汽车领域取得了特别的进展。在海洋领域,也正在采取措施实现海上自主水面舰艇(MASS),以降低运输成本,保护环境并解决海员人力短缺问题。这包括国际努力,例如在国际海事组织海上安全委员会(IMO MSC103)第103届会议上审查MASS面临的条约要求和监管障碍。然而,实现MASS面临的最终问题是需要实现无人操作,以解决船舶操作中难以量化的人类识别和判断问题。因此,本研究的目的是量化与船舶操作相关的技能,特别是熟练操作员对机动环境的识别和船舶机动的确定。
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