Research on the Effects of in-Vehicle Human-Machine Interface on Drivers' Pre and Post Takeover Request Eye-tracking Characteristics

Weimin Liu, Qingkun Li, Zhenyuan Wang, Wenjun Wang, Chao Zeng, Bo Cheng
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Abstract

In-vehicle Human-Machine Interface (HMI) plays a significant role for conditionally automated vehicles in realizing effective communications from driving automation systems to drivers during either automated driving period or control transitions. The present study aimed to investigate the effects of in-vehicle HMI on drivers' eye-tracking characteristics pre and post takeover request (TOR). A driving simulator-based experiment was conducted comparing the differences of drivers' visual behaviors with or without HMI under two TB (time budget) conditions (TB = 4 s; TB = 10 s). The visual HMI adopted in the experiments consisted of vehicle status display and a bird-view depiction of the traffic situation. Experiment results showed fixations prior to the TOR were more frequently shifted from real traffic situation to HMI which was effective in indirectly maintaining drivers' mode and situation awareness. Pre TOR entropy measures indicated a more dispersed but still ordered scanning pattern in spatial sampling. Saccadic behaviors were shown to be encouraged for a less cognitively demanded but a more visually loaded acquisition of surrounding information with the assistance of HMI. Post TOR fixation measure showed a prolonged Eyes-on-Traffic-Time (EoTT) when HMI was provided. And as a physiological indicator for mental workload, blink rate and blink latency did not show an additional increase after the issue of TOR under “with HMI” condition. We conclude that the introduction of in-vehicle visual HMI can be a valid option to support drivers in both automated driving and takeover time.
车载人机界面对驾驶员接管请求前后眼动特征的影响研究
车载人机界面(HMI)对于条件自动驾驶汽车在自动驾驶期间或控制过渡期间实现驾驶自动化系统与驾驶员的有效通信具有重要作用。本研究旨在探讨车载人机界面对驾驶员接管请求前后眼动特征的影响。通过驾驶模拟器实验,比较了两种时间预算条件下(TB = 4 s;TB = 10 s)。实验采用的视觉HMI包括车辆状态显示和鸟瞰交通状况描述。实验结果表明,TOR之前的注视更频繁地从真实交通状况转移到HMI,这可以有效地间接维持驾驶员的模式和状况意识。Pre - TOR熵测度表明,在空间采样中,扫描模式更加分散,但仍然是有序的。在HMI的帮助下,跳跃性行为在认知需求较少但视觉负荷较大的环境信息获取中得到了鼓励。后TOR固定测量显示,当提供HMI时,眼睛在交通上的时间(EoTT)延长。而作为心理负荷的生理指标,在“伴HMI”状态下,眨眼频率和眨眼潜伏期在发出TOR后并没有额外增加。我们得出的结论是,引入车载视觉HMI可以成为支持驾驶员自动驾驶和接管时间的有效选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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