eHMIs refers to a novel and explicit communication method for pedestrian-AV negotiation in interactions, such as in encounter scenarios. However, pedestrians with limited experience in negotiating with AVs could lack a comprehensive and correct understanding of the information on driving intentions' meaning as conveyed by AVs through eHMI, particularly in the current contexts where AV and eHMI are not yet mainstream. Consequently, pedestrians who misunderstand the driving intention of the AVs during the encounter may feel threatened and perform unpredictable behaviors. To solve this issue, this study proposes using the pre-instruction on the rationale of eHMI to help pedestrians correctly understand driving intentions and predict AV behavior. Consequently, this can improve their subjective feelings (ie. sense of danger, trust in AV, and sense of relief) and decision-making. In addition, this study suggests that the eHMI could better guide pedestrian behavior through the pre-instruction. The results of interaction experiments in the road crossing scene show that participants found it more difficult to recognize the situation when they encountered an AV without eHMI than when they encountered a manual driving vehicle (MV); in addition, participants' subjective feelings and hesitations while decision-making worsened significantly. After the pre-instruction, the participants could understand the driving intention of an AV with eHMI and predict driving behavior more easily. Furthermore, the participants' subjective feelings and hesitation to make decisions improved, reaching the same criteria used for MV. Moreover, this study found that the information guidance of using eHMI influenced the participants' walking speed, resulting in a small variation over the time horizon via multiple trials when they fully understood the principle of eHMI through the pre-instruction.
翻译:eHMIs指的是在互动中,如在相遇情景中进行行人-飞行器谈判的一种新颖和明确的沟通方法;然而,在与AVs谈判方面经验有限的行人可能缺乏对AVs通过eHMI传达的驾驶意图含义信息的全面和正确理解,特别是在目前AV和eHMI尚未纳入主流的情况下。因此,在遭遇中误解AVs驾驶意图的行人可能感到受到威胁并进行不可预测的行为。为解决这一问题,本研究报告建议使用关于eHMI的理由的预教来帮助行人正确理解驾驶意图并预测AV行为。因此,这可以改善他们的主观感觉(例如危险感、对AV的信赖和救济感)和决策意识。此外,该项研究表明,在遭遇AVV的场面互动实验结果显示,当他们遇到AVAV时,比他们遇到手动电子驾驶电子车辆时更容易地认识到AHMI的情况。此外,在选择电子驾驶电子机动车辆时,参与者会更清楚地理解其主观感觉和判断性判断。此外,在使用AMI的判断后, 更深层次判断的参与者会更清楚地理解,而更准确地理解, 更准确地理解了AMI 。</s>