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Along with the expansion of monitoring area per VTS operator in Tokyo Bay, Japan, inexperienced operators must acquire the ability to quickly and accurately detect conditions that requires attention (CRAs) from a monitoring screen. In our previous study (Song B, Itoh H, Kawamura Y, Fukuto J (2018) Analysis of Cognitive Processes of Operators of Vessel Traffic Service. In: Proceedings of the 2018 International Association of Institutes of Navigation. IAIN 2018, pp 529\u2013534, Song et al., J Jpn Inst Navig 140:48\u201354, 2019), we established a task analysis method based on the assumption that the cognitive process model consists of three stages: \u201csituational awareness\u201d, \u201csituation judgment\u201d, and \u201cdecision making\u201d. A simulation experiment was conducted for VTS operators with different levels of ability and their cognitive processes were compared based on the observation of eye movements. The results showed that the inexperienced operators\u2019 abilities to predict situation changes were lower. And it was considered that oral transmission of the knowledge is difficult, thus new training methods are needed to help the inexperienced operators to understand the prediction methods of experienced operators. In this study, based on the cognitive process of an experienced operator, we analyzed the prediction procedures of situation changes and developed an educational tool called vessel traffic routine (VTR). The training method learning VTR aims to quickly improve inexperienced VTS operators\u2019 abilities to predict situation changes. A simulation verification experiment of the VTR effect was conducted for four inexperienced operators, who were divided into two groups with and without prior explanation of VTR. By evaluating the cognitive processes of inexperienced operators, it was confirmed that those given prior explanations of VTR were better at detecting CRAs.<\/jats:p>","DOI":"10.1007\/s10111-021-00684-x","type":"journal-article","created":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T02:02:43Z","timestamp":1625191363000},"page":"351-369","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Development of training method for vessel traffic service based on cognitive process"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9061-6006","authenticated-orcid":false,"given":"Binbing","family":"Song","sequence":"first","affiliation":[]},{"given":"Hiroko","family":"Itoh","sequence":"additional","affiliation":[]},{"given":"Yasumi","family":"Kawamura","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,2]]},"reference":[{"issue":"11","key":"684_CR1","first-page":"1","volume":"1","author":"O Arslan","year":"2020","unstructured":"Arslan O, Atik O, Kahraman S (2020) Eye tracking in usability of electronic chart display and information system. 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