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This paper describes a proposal for drivers’ effective detection for precise scanning to unexpected events during train operations. The study highlights the importance of gaze behavior and visual exploring strategies in improving reaction times and ensuring passenger safety. The paper also discusses the effectiveness of visual feedback at real time in a simulator of virtual reality. The system navigates the driver’s eye movement to scan the whole screen efficiently, balancing focus between central and peripheral vision. The feedback mechanism includes a colour-coded visual indicator that prompts the driver to look broader area at appropriate intervals. The study concludes by outlining future improvements, such as adjusting the scan interval according to speed and improving the display settings for better training effects.

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Eye Movement Training for Taking Care of Potential Risks of Irregular Events in Driving Vehicles

  • 会议论文

  • 发表日期：

    2025年

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  • Koki Shimomura,
  • Kenji Matsuura,
  • Hironori Takeuchi,
  • Akihiro Kashihara,
  • Ryo Murakami

摘要

This paper describes a proposal for drivers’ effective detection for precise scanning to unexpected events during train operations. The study highlights the importance of gaze behavior and visual exploring strategies in improving reaction times and ensuring passenger safety. The paper also discusses the effectiveness of visual feedback at real time in a simulator of virtual reality. The system navigates the driver’s eye movement to scan the whole screen efficiently, balancing focus between central and peripheral vision. The feedback mechanism includes a colour-coded visual indicator that prompts the driver to look broader area at appropriate intervals. The study concludes by outlining future improvements, such as adjusting the scan interval according to speed and improving the display settings for better training effects.