This workshop aims to explore how to calibrate human's trust toward autonomous vehicles.

We welcome researchers and practitioners from all fields to discuss this issue together.

In recent years, AVs (autonomous vehicles) have been installed in the vehicles along with the improvement of sensor accuracy, calculation processing speed, and recognition performance by using artificial intelligence technologies. However, as the AV functionality becomes more and more diverse reliable, the driver may easily over-trust in the AV especially when the driver does not clearly understand the usage conditions and the functional boundaries of the AV. Besides, the number of interactions between AVs and pedestrians will increase significantly with the popularity of AVs. However, AVs have encountered some resistance from society during the popularization stage. One aspect of the resistance is that people do not trust AVs when they do not understand the driving intentions of the AVs in interactions, particularly in interactions with unmanned vehicles. A typical example of such interaction that pedestrians may feel worried and confused when they want to pass in front of an AV because they may have difficulties in determining whether the AV has detected them and will yield them the right-of-way to keep them safe. This leads pedestrians to distrust AV when they interact with each other.

In general, the over-trust in AVs may put drivers and traffic partners (TPs) in danger. Meanwhile, the over-distrust of drivers and TPs may hinder the popularity of AVs. For the above problems, this workshop focuses on and discusses how to help drivers and TPs to correctly trust AV.