Jiang Yunan, Zhi Jinyi
Department of Industrial Design, Southwest Jiaotong University, Chengdu, 610031, China.
Sci Rep. 2025 Jun 5;15(1):19853. doi: 10.1038/s41598-025-05733-3.
Due to the rapid development of high-speed train automatic driving, the combination forms of multimodal interface are various. In order to determine the differential effects of visual interface location and auditory interface on takeover efficiency and validity in high-speed train automatic driving scenario, 48 participants were selected to conduct multimodal interface simulation takeover test of high-speed train automatic driving, and the takeover reaction time, takeover completion time, takeover errors, SUS scale and generalized anxiety disorder scale were analyzed by variance analysis and Mann-Whitney U test. The results show that non-speech type auditory interface can attract drivers 'attention faster, and has significant advantage in takeover response, but it should avoid the anxiety caused by startle effect when used. Finally, reasonable TOR interface design suggestions for high-speed train autopilot are formed, which can provide theoretical basis for interface design of high-speed train autopilot, and provide new research methods for evaluation and optimization of train man-machine cooperation.
由于高速列车自动驾驶的快速发展，多模态界面的组合形式多种多样。为了确定视觉界面位置和听觉界面在高速列车自动驾驶场景中对接管效率和有效性的差异影响，选取48名参与者进行高速列车自动驾驶多模态界面模拟接管测试，并通过方差分析和曼-惠特尼U检验对接管反应时间、接管完成时间、接管错误、SUS量表和广泛性焦虑障碍量表进行分析。结果表明，非语音型听觉界面能更快吸引驾驶员注意力，在接管反应方面具有显著优势，但使用时应避免惊吓效应引起的焦虑。最后，形成了高速列车自动驾驶合理的TOR界面设计建议，可为高速列车自动驾驶界面设计提供理论依据，为列车人机协作的评估与优化提供新的研究方法。
