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Towards the Human–Machine Interaction: Strategies, Design, and Human Reliability Assessment of Crews’ Response to Daily Cargo Ship Navigation Tasks

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  • Su Han

    (School of Mechanical Engineering, Shandong University, Jinan 250000, China
    Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, Shandong University, Jinan 250000, China)

  • Tengfei Wang

    (School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Jiaqi Chen

    (School of Mechanical Engineering, Shandong University, Jinan 250000, China
    Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, Shandong University, Jinan 250000, China)

  • Ying Wang

    (School of Mechanical and Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250000, China)

  • Bo Zhu

    (School of Materials Science and Engineering, Shandong University, Jinan 250000, China)

  • Yiqi Zhou

    (School of Mechanical Engineering, Shandong University, Jinan 250000, China)

Abstract

Human error is a crucial factor leading to maritime traffic accidents. The effect of human–computer interaction (HCI) also plays a leading role in human error. The objective of this study is to propose a method of interaction strategies based on a cognitive-processing model in crews’ daily navigation tasks. A knowledge-based ship HCI framework architecture is established. It provides an extensible framework for the HCI process in the maritime domain. By focusing on the cognitive process of a crew in the context of accident and risk handling during ship navigation, based on the information, decision, and action in crew context (IDAC) model, in combination with the maritime accident dynamics simulation (MADS) system, the MADS-IDAC system was developed and enhanced by the HCI structure and function design of the dynamic risk analysis platform for maritime management. The results indicate that MADS enhanced by HCI can effectively generate a strategy set of various outcomes in preset scenarios. Moreover, it provides a new method and thought for avoiding human error in crew interaction and to lower the risk of ship collision as well as effectively improving the reliability of HCI.

Suggested Citation

  • Su Han & Tengfei Wang & Jiaqi Chen & Ying Wang & Bo Zhu & Yiqi Zhou, 2021. "Towards the Human–Machine Interaction: Strategies, Design, and Human Reliability Assessment of Crews’ Response to Daily Cargo Ship Navigation Tasks," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8173-:d:598806
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    References listed on IDEAS

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