作者
Suresh Kumaar Jayaraman, Chandler Creech, Lionel P Robert Jr, Dawn M Tilbury, X Jessie Yang, Anuj K Pradhan, Katherine M Tsui
发表日期
2018/3/1
图书
Companion of the 2018 ACM/IEEE international conference on human-robot interaction
页码范围
133-134
简介
Autonomous vehicles (AVs) have the potential to improve road safety. Trust in AVs, especially among pedestrians, is vital to alleviate public skepticism. Yet much of the research has focused on trust between the AV and its driver/passengers. To address this shortcoming, we examined the interactions between AVs and pedestrians using uncertainty reduction theory (URT). We empirically verified this model with a user study in an immersive virtual reality environment (IVE). The study manipulated two factors: AV driving behavior (defensive, normal and aggressive) and the traffic situation (signalized and unsignalized). Results suggest that the impact of aggressive driving on trust in AVs depends on the type of crosswalk. At signalized crosswalks the AV»s driving behavior had little impact on trust, but at unsignalized crosswalks the AV»s driving behavior was a major determinant of trust. Our findings shed new insights …
引用总数
201820192020202120222023202441212209166
学术搜索中的文章
SK Jayaraman, C Creech, LP Robert Jr, DM Tilbury… - Companion of the 2018 ACM/IEEE international …, 2018