Driving in autonomous cars requires trust, especially in case of unexpected driving behavior
of the vehicle. This work evaluates mental models that experts and non-expert users have of …

Autonomous vehicles (AVs) have the potential to change the way we commute, travel, and
transport our goods. The deployment of AVs in society, however, requires that people …

Autonomous vehicles are complex systems that may behave in unexpected ways. From the
drivers' perspective, this can cause stress and lower trust and acceptance of autonomous …

Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad
interests from researchers. Recent studies have found that providing explanations for …

The safe deployment of autonomous vehicles (AV s) in real world scenarios requires that AV
s are accountable. One way of ensuring accountability is through the provision of …

In a fully autonomous driving situation, passengers hand over the steering control to a highly
automated system. Autonomous driving behaviour may lead to confusion and negative user …

User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …

In commentary driving, drivers verbalise their observations, assessments and intentions. By
speaking out their thoughts, both learning and expert drivers are able to create a better …

Autonomous cars will likely hit the market soon, but trust into such a technology is one of the
big discussion points in the public debate. Drivers who have always been in complete …