Lee Yee Mun, Sidorov Vladislav, Madigan Ruth, Garcia de Pedro Jorge, Markkula Gustav, Merat Natasha
University of Leeds, UK.
Hum Factors. 2025 Mar;67(3):264-279. doi: 10.1177/00187208241272070. Epub 2024 Aug 23.
We investigated how different deceleration intentions (i.e. an automated vehicle either decelerated for leading traffic or yielded for pedestrians) and a novel (Slow Pulsing Light Band - SPLB) or familiar (Flashing Headlights - FH) external Human Machine Interface (eHMI) informed pedestrians' crossing behaviour.
The introduction of SAE Level 4 Automated Vehicles (AVs) has recently fuelled interest in new forms of explicit communication via eHMIs, to improve the interaction between AVs and surrounding road users. Before implementing these eHMIs, it is necessary to understand how pedestrians use them to inform their crossing decisions.
Thirty participants took part in the study using a Head-Mounted Display. The independent variables were deceleration intentions and eHMI design. The percentage of crossings, collision frequency and crossing initiation time across trials were measured.
Pedestrians were able to identify the intentions of a decelerating vehicle, using implicit cues, with more crossings made when the approaching vehicles were yielding to them. They were also more likely to cross when a familiar eHMI was presented, compared to a novel one or no eHMI, regardless of the vehicle's intention. Finally, participants learned to take a more cautious approach as trials progressed, and not to base their decisions solely on the eHMI.
A familiar eHMI led to early crossings regardless of the vehicle's intention but also led to a higher collision frequency than a novel eHMI.
To achieve safe and acceptable interactions with AVs, it is important to provide eHMIs that are congruent with road users' expectations.
我们研究了不同的减速意图(即自动驾驶车辆是因前方车辆减速还是为行人让路)以及一种新型(慢脉冲光带 - SPLB)或常见(闪烁大灯 - FH)的外部人机界面(eHMI)如何影响行人的过街行为。
SAE 4级自动驾驶车辆(AV)的引入最近激发了人们对通过eHMI进行新形式明确通信的兴趣,以改善AV与周围道路使用者之间的互动。在实施这些eHMI之前,有必要了解行人如何利用它们来做出过街决策。
30名参与者使用头戴式显示器参与了该研究。自变量为减速意图和eHMI设计。测量了各试验中的过街百分比、碰撞频率和过街起始时间。
行人能够利用隐含线索识别减速车辆的意图,当接近的车辆为他们让路时,行人过街的次数更多。无论车辆意图如何,与新型eHMI或无eHMI相比,当呈现常见eHMI时,他们也更有可能过街。最后,随着试验的进行,参与者学会了采取更谨慎的方法,而不是仅仅基于eHMI做出决策。
无论车辆意图如何,常见的eHMI都会导致过早过街,但与新型eHMI相比,也会导致更高的碰撞频率。
为了实现与AV的安全且可接受的交互,提供符合道路使用者期望的eHMI非常重要。