The rapid advancement of artificial intelligence (AI) has impacted society in many aspects.
Alongside this progress, concerns such as privacy violation, discriminatory bias, and safety …

Autonomous vehicles (AVs) are expected to reshape future transportation systems, and
decision making is one of the critical modules toward high-level automated driving. To …

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

To promote drivers' overall experiences in highly automated vehicles, we designed three
objective criticality-adaptive displays: IO display highlighting Influential Objects, CO display …

Humans' internal states play a key role in human-machine interaction, leading to the rise of
human state estimation as a prominent field. Compared to swift state changes such as …

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 …

Achieving effective and seamless human-robot collaboration requires two key outcomes:
enhanced team performance and fostering a positive human perception of both the robot …

Teleoperation is increasingly recognized as a viable solution for deploying robots in
hazardous environments. Controlling a robot to perform a complex or demanding task may …

With the development of intelligent transportation, it has become mainstream for drivers and
automated systems to cooperate to complete train driving tasks. Human-machine trust has …

Maintaining adequate situation awareness (SA) is crucial for the safe operation of
conditionally automated vehicles (AVs), which requires drivers to regain control during …