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

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 …

Automated vehicles will eventually operate safely without the need of human supervision
and fallback, nevertheless, scenarios will remain that are managed more efficiently by a …

As automated machine learning (AutoML) systems continue to progress in both
sophistication and performance, it becomes important to understand the 'how'and 'why'of …

It will not be long until Level 3 Automated Driving Systems (L3 ADS) enter the consumer
market. An important role corresponds to methodology development. The present paper …

For a successful market introduction of Level 3 Automated Driving Systems (L3 ADS), a
careful evaluation of human–machine interfaces (HMIs) is necessary. User preference has …

Fully autonomous driving leaves drivers with little opportunity to intervene in the driving
decision. Giving drivers more control can enhance their driving experience. We develop two …

Autonomous vehicle technology increasingly allows drivers to turn their primary attention to
secondary tasks (eg, eating or working). This dramatic behavior change thus requires new …

Therefore, we implemented the voice, gaze, pointing, and touch as input modalities in a
Virtual Reality (VR) environment and conducted a within-subjects study with N= 11 …

In the time of highly automated driving, the role of drivers is shifting from actual driving to
being a passenger, supervisor, or a cooperative partner. In the case of cooperative driver …