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学习解读新型电子人机界面:车辆运动学和电子人机界面熟悉度对行人过街行为的影响。

Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrian' crossing behavior.

作者信息

Lee Yee Mun, Madigan Ruth, Uzondu Chinebuli, Garcia Jorge, Romano Richard, Markkula Gustav, Merat Natasha

机构信息

Institute for Transport Studies, University of Leeds, United Kingdom.

Institute for Transport Studies, University of Leeds, United Kingdom.

出版信息

J Safety Res. 2022 Feb;80:270-280. doi: 10.1016/j.jsr.2021.12.010. Epub 2021 Dec 23.

Abstract

INTRODUCTION

In current urban traffic, pedestrians attempting to cross the road at un-signalized locations are thought to mostly use implicit communication, such as deceleration cues, to interpret a vehicle's intention to yield. There is less reliance on explicit driver- or vehicle-based messages, such as hand/head movements, or flashing lights/beeping horns. With the impending deployment of Automated Vehicles (AV), especially those at SAE Level 4 and 5, where the driver is no longer in control of the vehicle, there has been a surge in interest in the value of new forms of communication for AVs, for example, via different types of external Human Machine Interfaces (eHMIs). However, there is still much to be understood about how quickly a novel eHMI affects pedestrian crossing decisions, and whether it provides any additional aid, above and beyond implicit/kinematic information from the vehicle. The aim of this between-participant study, funded by the H2020 interACT project, was to investigate how the combination of kinematic information from a vehicle (e.g., Speed and Deceleration), and eHMI designs, play a role in assisting the crossing decision of pedestrians in a cave-based pedestrian simulator.

METHOD

Using an existing, well-recognized, message for yielding (Flashing Headlights - FH) as a benchmark, this study also investigated how quickly a novel eHMI (Slow Pulsing Light Band - SPLB) was learned. To investigate the effect of eHMI visibility on crossing decisions, the distance at which each eHMI was perceivable was also measured.

RESULTS

Results showed that, compared to SPLB, the FH led to earlier crossings during vehicle deceleration, especially at lower approaching speeds, and smaller time gaps. However, although FH was visible earlier than SPLB, this visibility does not appear to be the only reason for earlier crossings, with message familiarity thought to play a role. Participants were found to learn the meaning conveyed by FH relatively quickly, crossing around 1 second earlier in its presence (compared to the no eHMI condition), across the three blocks of trials. On the other hand, it took participants at least one block of 12 trials for the new SPLB signal to affect crossing, which only accelerated crossing initiations by around 200 ms, compared to the no eHMI condition. The role of comprehension, long-term exposure, and familiarity of novel messages in this context is therefore important, if AVs are to provide safe, trustworthy communication messages, which will enhance traffic flow and efficiency.

摘要

引言

在当前的城市交通中,试图在无信号控制的地点过马路的行人大多使用隐性沟通方式,比如减速提示,来解读车辆让路的意图。他们较少依赖基于驾驶员或车辆的显性信息,如手部/头部动作,或闪烁灯光/鸣笛。随着自动驾驶汽车(AV)的即将部署,尤其是那些达到SAE 4级和5级的车辆,此时驾驶员不再控制车辆,人们对自动驾驶汽车新的通信形式的价值兴趣激增,例如通过不同类型的外部人机界面(eHMI)。然而,对于一种新型eHMI对行人过马路决策的影响有多快,以及它是否能在车辆的隐性/运动信息之外提供任何额外帮助,仍有许多需要了解的地方。这项由H2020 interACT项目资助的参与者间研究的目的是,调查来自车辆的运动信息(如速度和减速)与eHMI设计的组合,在基于洞穴的行人模拟器中如何帮助行人做出过马路决策。

方法

本研究以现有的、广为人知的让路信息(闪烁前照灯 - FH)作为基准,还调查了一种新型eHMI(慢脉冲灯带 - SPLB)被理解的速度有多快。为了研究eHMI可见性对过马路决策的影响,还测量了每个eHMI可被感知的距离。

结果

结果显示,与SPLB相比,FH在车辆减速期间能使行人更早过马路,尤其是在较低的接近速度下,且时间间隔更小。然而,尽管FH比SPLB更早可见,但这种可见性似乎不是行人更早过马路的唯一原因,信息熟悉度也被认为起到了作用。研究发现,参与者相对较快地理解了FH传达的含义,在有FH的情况下(与无eHMI条件相比),在三个试验块中过马路时间提前了约1秒。另一方面,新的SPLB信号至少需要一个包含12次试验的试验块才能影响过马路行为,与无eHMI条件相比,它仅使过马路启动时间加快了约200毫秒。因此,如果自动驾驶汽车要提供安全、可靠的通信信息以提高交通流量和效率,那么在这种情况下,对新信息的理解、长期接触和熟悉度的作用就很重要。

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