@article{ref1,
title="Pedestrian trust in automated vehicles: role of traffic signal and AV driving behavior",
journal="Frontiers in robotics and AI",
year="2019",
author="Jayaraman, Suresh Kumaar and Creech, Chandler and Tilbury, Dawn M. and Yang, X. Jessie and Pradhan, Anuj K. and Tsui, Katherine M. and Robert, Lionel P. Jr",
volume="6",
number="",
pages="e117-e117",
abstract="Pedestrians' acceptance of automated vehicles (AVs) depends on their trust in the AVs. We developed a model of pedestrians' trust in AVs based on AV driving behavior and traffic signal presence. To empirically verify this model, we conducted a human-subject study with 30 participants in a virtual reality environment. The study manipulated two factors: AV driving behavior (defensive, normal, and aggressive) and the crosswalk type (signalized and unsignalized crossing). <br><br>RESULTS indicate that pedestrians' trust in AVs was influenced by AV driving behavior as well as the presence of a signal light. In addition, the impact of the AV's driving behavior on trust in the AV depended on the presence of a signal light. There were also strong correlations between trust in AVs and certain observable trusting behaviors such as pedestrian gaze at certain areas/objects, pedestrian distance to collision, and pedestrian jaywalking time. We also present implications for design and future research.<p /> <p>Language: en</p>",
language="en",
issn="2296-9144",
doi="10.3389/frobt.2019.00117",
url="http://dx.doi.org/10.3389/frobt.2019.00117"
}