Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …

At construction workplaces, workers should be consistently attentive to approaching and
nearby safety hazards. However, workers tend to allocate most of their attentional resources …

Given the uncertainty surrounding how existing explainability methods for autonomous
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …

Advances in automated driving systems (ADSs) have shifted the primary responsibility of
controlling a vehicle from human drivers to automation. Framing driving a highly automated …

Automated vehicles (AVs) can perform low-level control tasks but are not always capable of
proper decision-making. This paper presents a concept of eye-based maneuver control for …

Automated vehicles (AVs) are able to detect pedestrians reliably but still have difficulty in
predicting pedestrians' intentions from their implicit body language. This study examined the …

Automated vehicles will change the interaction with the user drastically. While freeing the
user of the driving task for most of the journey, the" final 100 meters problem'', directing the …

Augmented Reality (AR) has the potential to help drivers become aware of invisible hazards
through an Augmented Reality Head-Up Display (AR-HUD). However, this issue is still …

First concepts for cooperative driving already illustrate the potential of the cooperation
between human drivers and automated vehicles. However, the main influencing factors that …

To maximize safety and driving comfort, autonomous driving systems can benefit from
implementing foresighted action choices that take different potential scenario developments …