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

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 …

Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …

Autonomous vehicles provide new input modalities to improve interaction with in-vehicle
information systems. However, due to the road and driving conditions, the user input can be …

Thermal management in automobiles is necessary to minimize energy usage while
achieving a high level of occupant thermal perception. As the freedom of in-vehicle activity …

The present online study surveyed drivers of SAE Level 2 partially automated cars on
automation use and attitudes towards automation. Respondents reported high levels of trust …

Investigating trust, acceptance, and attitudes towards automated driving is often investigated
in simulator experiments. Therefore, behavioral validity is a crucial aspect of automated …

Highly Automated Vehicles offer a new level of independence to people who are blind or
visually impaired. However, due to their limited vision, gaining knowledge of the surrounding …

Introduction The rapid development of autonomous vehicles (AVs) has the potential to
revolutionize transportation systems and address societal challenges. However …

Abstract The Level 4 Automated Vehicles (L4 AV) potentially deliver social, economic, safety
and environmental benefits. A key feature for the L4 AV is the failsafe mechanism which …