并非所有明确的提示都有助于沟通:行人对外观各异的自动驾驶汽车的感知、固定和决策

Wei Lyu, Yaqin Cao, Yi Ding, Jingyu Li, Kai Tian, Hui Zhang
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引用次数: 0

摘要

鉴于行人在道路交通中的脆弱性,新型自动驾驶汽车的外观对行人过马路行为的影响仍不明确。为了填补这一空白,本研究开创性地调查了 AV 的外观设计及其运动学对行人过马路感知和决策的影响。我们对 61 名参与者进行了基于视频的眼动跟踪实验研究,这些参与者对视频刺激做出了反应,视频刺激描述了在一条无信号灯的双向道路上,一辆受操控的车辆正在接近预定的过路位置。车辆的运动模式被操纵为让行和不让行,其外部外观则分为五种类型:有人类驾驶员(作为传统车辆)、无驾驶员(作为 AV)、有基于文本的身份指示、有车顶雷达传感器、有根据车辆运动模式调整的动态电子人机界面。研究人员记录并报告了参与者在互动过程中感知到的清晰度、穿越起始距离(CID)、穿越决策时间(CDT)和注视行为。结果表明,视听设备的运动曲线在行人的过路决策中起着主导作用,这一点可以从他们的主观评价、过路起始距离(CID)、过路决策时间(CDT)和互动过程中的注视模式中得到证实。此外,使用清晰的电子人机交互界面(如动态行人图标)可减轻行人的视觉负担,增强他们的感知清晰度,加快过马路决策,从而提高整体过马路效率。然而,研究发现,文本身份指示和车顶雷达传感器对行人的决定没有显著影响,但对行人的视觉注意力有负面影响,表现为固定次数增加和固定时间延长,尤其是在让行条件下。过度的视觉和认知资源占用表明,并非所有明确的提示都能促进人车交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Not all explicit cues help communicate: Pedestrians' perceptions, fixations, and decisions toward automated vehicles with varied appearance
Given pedestrians' vulnerability in road traffic, it remains unclear how novel AV appearances will impact pedestrians crossing behaviour. To address this gap, this study pioneers an investigation into the influence of AVs' exterior design, correlated with their kinematics, on pedestrians' road-crossing perception and decision-making. A video-based eye-tracking experimental study was conducted with 61 participants who responded to video stimuli depicting a manipulated vehicle approaching a predefined road-crossing location on an unsignalized, two-way road. The vehicle's kinematic pattern was manipulated into yielding and non-yielding, and its external appearances were varied across five types: with a human driver (as a conventional vehicle), with no driver (as an AV), with text-based identity indications, with roof radar sensors, with dynamic eHMIs adjusted to vehicle kinematics. Participants' perceived clarity, crossing initiation distance (CID), crossing decision time (CDT), and gaze behaviour, during interactions were recorded and reported. The results indicated that AVs' kinematic profiles play a dominant role in pedestrians' road-crossing decisions, supported by their subjective evaluations, CID, CDT, and gaze patterns during interactions. Moreover, the use of clear eHMI, such as dynamic pedestrian icons, reduced pedestrians' visual load, enhanced their perceptual clarity, expedited road-crossing decisions, and thereby improved overall crossing efficiency. However, it was found that both textual identity indications and roof radar sensors have no significant effect on pedestrians' decisions but negatively impact pedestrians' visual attention, as evidenced by heightened fixation counts and prolonged fixation durations, particularly under yielding conditions. Excessive visual and cognitive resource occupation suggests that not all explicit cues facilitate human-vehicle communication.
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