As autonomous vehicles have benefited the society, understanding the dynamic change of
humans' trust during human-autonomous vehicle interaction can help to improve the safety …

Recent studies indicate that people are negatively predisposed toward utilizing autonomous
systems. These findings highlight the necessity of conducting research to better understand …

Trust is crucial for ensuring the safety, security, and widespread adoption of automated
vehicles (AVs), and if trust is lacking, drivers and the public may not be willing to use them …

Despite many benefits of automated driving, such as reducing fuel consumption, traffic
congestion and crashes, a lack of trust hinders the adoption of automated vehicles (AVs) …

Trust in automation is a critical determinant for the acceptance and use of automated
systems. Therefore, it constitutes an essential research area to promote the wide application …

Under the human-automation codriving future, dynamic trust should be considered. This
paper explored how trust changes over time and how multiple factors (time, trust propensity …

Effective collaboration between automated vehicles (AVs) and human drivers relies on
maintaining an appropriate level of trust. However, real-time assessment of human trust …

Trust is an important characteristic of successful interactions between humans and agents in
many scenarios. Self-driving scenarios are of particular relevance when discussing the …

Trust calibration poses a significant challenge in the interaction between drivers and
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …

Automated driving (AD) is one of the key directions in the intelligent vehicles field. Before full
automated driving, we are at the stage of human-machine cooperative driving: Drivers share …