Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making
Hailong Liu, Takatsugu Hirayama, Masaya Watanabe

TL;DR
This study demonstrates that providing instructions about an automated vehicle's external communication interface significantly enhances pedestrians' understanding, trust, and decision-making during road-crossing interactions, aligning their perceptions closer to manual vehicles.
Contribution
It introduces the importance of instructing pedestrians on eHMI rationale to improve interaction outcomes with automated vehicles, a novel approach in AV-pedestrian communication research.
Findings
eHMI improves pedestrians' situational awareness.
Instructions enhance understanding of AV intentions.
Subjective feelings and decision hesitation are significantly improved.
Abstract
Compared to a manual driving vehicle (MV), an automated driving vehicle lacks a way to communicate with the pedestrian through the driver when it interacts with the pedestrian because the driver usually does not participate in driving tasks. Thus, an external human machine interface (eHMI) can be viewed as a novel explicit communication method for providing driving intentions of an automated driving vehicle (AV) to pedestrians when they need to negotiate in an interaction, e.g., an encountering scene. However, the eHMI may not guarantee that the pedestrians will fully recognize the intention of the AV. In this paper, we propose that the instruction of the eHMI's rationale can help pedestrians correctly understand the driving intentions and predict the behavior of the AV, and thus their subjective feelings (i.e., dangerous feeling, trust in the AV, and feeling of relief) and…
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