Qiu Zihao, Lai Huiyan, Wu Hangyan, Wang Meina, Hu Xinkui, Liu Hongyan, Ma Shu, Hu Zhiguo
Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, P. R. China.
Institute of Psychological Science, Hangzhou Normal University, Hangzhou, P. R. China.
Traffic Inj Prev. 2025;26(3):307-315. doi: 10.1080/15389588.2024.2409980. Epub 2024 Nov 18.
The present study aimed to explore the effects of various tactile takeover requests (TORs) (i.e., tactile sliding TOR and traditional vibration TOR) on the takeover performance in an automated driving system.
A tactile sliding motor device was developed to signal the sliding TOR on the seatback of a driving simulator. Twenty-five young drivers were recruited as participants. Four types of TOR patterns were adopted in the study: ipsilateral motor rotation (IR), contralateral motor rotation (CR), ipsilateral and contralateral motor rotation (ICR), and ipsilateral motor vibration (IV). The participants were required to sit on the seat and underwent the automated driving in a low- or high-complexity scenario, then one of the four types of TORs was triggered randomly. The participants were asked to make a lane change using the steering wheel as soon as possible. Objective measures and subjective evaluations were used to assess the takeover performance.
Results showed that the participants exhibited a shorter steering response time and lane change time under the three tactile sliding TORs (compared to the traditional vibration TOR). In the high-complexity scenarios and low-complexity scenarios conditions, different result patterns appeared regarding the maximum lateral acceleration and situational awareness.
Our findings suggested that the tactile sliding motor is a promising way to signal a TOR in an automated driving system.
本研究旨在探讨各种触觉接管请求(TORs)(即触觉滑动TOR和传统振动TOR)对自动驾驶系统中接管性能的影响。
开发了一种触觉滑动电机装置,用于在驾驶模拟器的座椅靠背上发出滑动TOR信号。招募了25名年轻驾驶员作为参与者。本研究采用了四种类型的TOR模式:同侧电机旋转(IR)、对侧电机旋转(CR)、同侧和对侧电机旋转(ICR)以及同侧电机振动(IV)。参与者被要求坐在座椅上,在低复杂度或高复杂度场景下进行自动驾驶,然后随机触发四种类型的TOR之一。要求参与者尽快使用方向盘进行变道。采用客观测量和主观评价来评估接管性能。
结果表明,与传统振动TOR相比,在三种触觉滑动TOR下,参与者的转向响应时间和变道时间更短。在高复杂度场景和低复杂度场景条件下,关于最大横向加速度和态势感知出现了不同的结果模式。
我们的研究结果表明,触觉滑动电机是在自动驾驶系统中发出TOR信号的一种有前景的方式。