Abstract Automated Driving Systems (ADS)(SAE, 2021), promise improved safety and
comfort for drivers. Current technological advances have resulted in increased automation …

Humans increasingly interact with AI systems, and successful interactions rely on individuals
trusting such systems (when appropriate). Considering that trust is fragile and often cannot …

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 in Automation is known to influence human-automation interaction and user behaviour.
In the Automated Driving (AD) context, studies showed the impact of drivers' Trust in …

Objective The objective was to demonstrate anthropomorphism needs to communicate
contextually useful information to increase user confidence and accurately calibrate human …

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 …

Today's research on fenceless human–robot collaboration (HRC) is challenged by a
relatively slow development of safety features. Simultaneously, design recommendations for …

Autonomous cars are indispensable when humans go further down the hands-free route.
Although existing literature highlights that the acceptance of the autonomous car will …

Complementing human decision-making with AI advice offers substantial advantages.
However, humans do not always trust AI advice appropriately and are overly sensitive to …

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 …