行人对不同外观的自动驾驶车辆的感知、关注和决定。

IF 5.7 1区 工程技术 Q1 ERGONOMICS
Wei Lyu , Yaqin Cao , Yi Ding , Jingyu Li , Kai Tian , Hui Zhang
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引用次数: 0

摘要

正如目前和即将进行的道路测试原型所证明的那样,未来的自动驾驶汽车(av)预计将以创新的外观为特色,例如文本身份指示、外部雷达和外部人机界面(eHMIs)。然而,鉴于行人在道路交通中的脆弱性,目前尚不清楚这些新型自动驾驶外观将如何影响行人的过马路行为,特别是与他们的多模式表现有关,包括主观感知、凝视模式和过马路决策。为了解决这一差距,本研究首先调查了自动驾驶汽车的外观设计及其运动学对行人过马路感知和决策的影响。一项基于视频的眼球追踪实验研究对61名参与者进行了研究,他们被暴露在视频刺激下,视频刺激描绘了一辆被操纵的车辆在没有信号的双向道路上接近预定的十字路口位置。车辆的运动学模式被操纵为屈服和不屈服,其外观在五种情况下发生变化:有人类驾驶员(作为传统车辆),没有驾驶员(作为自动驾驶汽车),基于文本的身份指示,车顶雷达传感器,动态ehmi调整为车辆运动学。记录并报告了参与者在互动过程中的感知清晰度、交叉起始时间、交叉起始距离和凝视行为。结果表明,自动驾驶汽车的让步模式在行人过马路决策中起主导作用,其主观评价和CID支持。此外,我们还发现,文本身份指示和车顶雷达传感器对行人的CIT和CID没有显著影响,但对他们的视觉注意有负面影响,这可以通过增加的注视次数和延长的注视时间来证明。相比之下,eHMIs的部署有助于减轻与自动驾驶身份特征相关的视觉负荷和感知混乱,加快时间和空间上的过马路决策,从而提高整体沟通效率。从弱势道路使用者的角度讨论了这些研究结果对未来自动驾驶汽车外部交互设计的实际和安全意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pedestrians’ perceptions, fixations, and decisions towards automated vehicles with varied appearances
Future automated vehicles (AVs) are anticipated to feature innovative exteriors, such as textual identity indications, external radars, and external human–machine interfaces (eHMIs), as evidenced by current and forthcoming on-road testing prototypes. However, given the vulnerability of pedestrians in road traffic, it remains unclear how these novel AV appearances will impact pedestrians’ crossing behaviour, especially in relation to their multimodal performance, including subjective perceptions, gaze patterns, and road-crossing decisions. To address this gap, this study pioneers an investigation into the influence of AVs’ exterior design, in conjunction with their kinematics, on pedestrians’ road-crossing perception and decision-making. A video-based eye-tracking experimental study was conducted with 61 participants who were exposed 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 conditions: 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 time (CIT), crossing initiation distance (CID), and gaze behaviour during interactions were recorded and reported. The results revealed that AVs’ yielding patterns play a dominant role in pedestrians’ road-crossing decisions, supported by their subjective evaluations and CID. Furthermore, it was found that both textual identity indications and roof radar sensors had no significant effect on pedestrians’ CIT and CID but did negatively impact their visual attention, as evidenced by heightened fixation counts and prolonged fixation durations. In contrast, the deployment of eHMIs helped mitigate the visual load and perceptual confusion associated with AV’s identity features, expedite road-crossing decisions in terms of both time and space, and thus improve overall communication efficiency. The practical and safety implications of these findings for future external interaction design of AVs are discussed from the perspective of vulnerable road users.
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来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
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