Volume 25 Issue 3
Jun.  2025
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LI Meng-xia, XU Tu-yuan, ZOU Tian-yue, LIU Chen-guang, ZHENG Mao, CHU Xiu-min, YAN Xin-ping. Research on optimal design of human-machine interaction interface of remote navigation and control ships[J]. Journal of Traffic and Transportation Engineering, 2025, 25(3): 304-316. doi: 10.19818/j.cnki.1671-1637.2025.03.020
Citation: LI Meng-xia, XU Tu-yuan, ZOU Tian-yue, LIU Chen-guang, ZHENG Mao, CHU Xiu-min, YAN Xin-ping. Research on optimal design of human-machine interaction interface of remote navigation and control ships[J]. Journal of Traffic and Transportation Engineering, 2025, 25(3): 304-316. doi: 10.19818/j.cnki.1671-1637.2025.03.020
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Research on optimal design of human-machine interaction interface of remote navigation and control ships

doi: 10.19818/j.cnki.1671-1637.2025.03.020
  • 1.

    State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, Hubei, China

  • 2.

    Intelligent Transport System Research Center, Wuhan University of Technology, Wuhan 430063, Hubei, China

  • 3.

    National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, Hubei, China

  • 4.

    School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, Hubei, China

Funds:

National Natural Science Foundation of China 52401422

China Postdoctoral Science Foundation Project GZC20241296

More Information
  • Corresponding author: YAN Xin-ping (1959-), male, academician of Chinese Academy of Engineering, professor, PhD, xpyan@whut.edu.cn
  • Received Date: 2024-05-23
  • Accepted Date: 2025-04-30
  • Rev Recd Date: 2025-03-06
  • Publish Date: 2025-06-28
    Abstract
  • To ensure the safety and reliability of ship remote navigation, an optimization method for the human-machine interaction (HMI) interface for remote navigation and control ships was proposed. The changes in visual attention distribution during the remote-controlled operation conducted by remote operators were deeply investigated. The HMI interface was optimized by considering the evolution patterns of viewpoint time series and the importance of interface partitions. By analyzing the distribution of viewpoint time series in sub-interfaces, the evolution patterns of viewpoint time series were extracted. The logical relationship and influence degrees among sub-interfaces were established, and the importance of each sub-interface was quantified based on the degree of mutual influence. According to the evolution patterns of viewpoint time series and the importance of interface partitions, the position relationship, arrangement order, and interface proportion of each partition of the HMI interface were determined, thus realizing the optimization of the HMI interface for remote navigation and control ships. Turning and overtaking scenarios of remote navigation and control ships were tested in Fengjie, Chongqing. Analysis results show that in terms of the evolution patterns of viewpoint time series during remote navigation, the viewpoint accounts for nearly 50% of the transitions between the "bow perspective" and the "operating conditions of remote-controlled ships". In the interface importance analysis, the total proportion of viewpoint distribution in these two interfaces accounts for nearly 70%. The proposed method is applicable to the optimized design of HMI interfaces for remote-controlled ships and can provide the corresponding optimized design schemes for such ships with different levels of intelligence.

     

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