The Prevalence of Automated Vehicles (with eHMIs) May Influence Pedestrian-Vehicle Interactions

被引：0
|
作者：
Eisele, Daniel [1 ]
Bubeck, Carla B. [1 ]
Rudolf, Matthias [2 ]
Petzoldt, Tibor [1 ]
机构：
[1] Tech Univ Dresden, Chair Traff & Transportat Psychol, Dresden, Germany
[2] Tech Univ Dresden, Chair Psychol Methods & Cognit Modelling, Dresden, Germany
来源：
PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2024 | 2024年
关键词：
market penetration; explicit communication; vulnerable road user; human-robot interaction; GAP ACCEPTANCE; MENTAL MODELS; BEHAVIOR; DESIGN; ISSUES; NEEDS;
D O I：
10.1145/3640792.3675723
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The proportion of highly automated vehicles in traffic (i.e., the prevalence of AVs) is likely to increase over time. The aim of this study was to investigate whether the prevalence of AVs may influence how pedestrians interact with AVs and with conventional, human-driven vehicles (CVs). A video-based laboratory study was conducted using a two-group mixed design. Participants took the perspective of pedestrians about to cross the road in a situation where AVs (with eHMIs) and CVs were approaching their position. The prevalence of AVs was manipulated between groups ( low/high). The participants indicated the moment they decided to cross in front of the vehicles. Our results show that AV prevalence did indeed significantly influence when participants decided to cross. Overall, participants decided to cross earlier in front of the more prevalent vehicle type. Therefore, taking into account the given prevalence of AVs could significantly benefit AVs in predicting pedestrian behavior.
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页码：329 / 337
页数：9
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