Autonomous driving will change the role of the driver. From being the main actor in driving,
the driver will now have a supervisory role during the autonomous driving phases. However …

Drivers use nonverbal cues such as vehicle speed, eye gaze, and hand gestures to
communicate awareness and intent to pedestrians. Conversely, in autonomous vehicles …

An important research question in the domain of highly automated driving is how to aid
drivers in transitions between manual and automated control. Until highly automated cars …

This study investigates the influence of non-driving-related task (NDRT) on takeover
performance in a highly automated driving (HAD) context and the effect of workload on …

Autonomous vehicle (AV) technology has brought a shift in the traditional role of the driver.
This paper applies a user-centred design approach to designing a new AV interior to better …

In conditionally automated driving (SAE level 3), drivers may take their eyes off the road but
will still need to be ready to take control and will, therefore, benefit from information on …

Current voice assistants present messages in a predefined format without considering users'
mental states. This paper presents an optimization-based approach to alleviate this issue …

We envision a future where self-driving bicycles can take us to our destinations. This allows
cyclists to use their time on the bike efficiently for work or relaxation without having to focus …

Lack of trust can arise when people do not know what autonomous vehicles perceive in the
environment. To convey this information without causing alarm or compelling people to act …

The potential benefits of autonomous vehicles, including safety, convenience, fuel economy,
and low emissions can only be achieved when consumers are comfortable with the vehicle …