Automated vehicles (AVs) are on the edge of being available on the mass market. Research
often focuses on technical aspects of automation, such as computer vision, sensing, or …

Large language models (LMs) offer unprecedented language generation capabilities and
exciting opportunities for interaction design. However, their highly context-dependent …

Affective technology offers exciting opportunities to improve road safety by catering to
human emotions. Modern car interiors enable the contactless detection of user states …

The next major evolutionary stage for voice assistants will be their capability to initiate
interactions by themselves. However, to design proactive interactions, it is crucial to …

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 …

Increasing number of researchers and designers are envisioning a wide range of novel
proactive conversational services for smart speakers such as context-aware reminders and …

Voice assistants have afforded users rich interaction opportunities to access information and
issue commands in a variety of contexts. However, some users feel uneasy or creeped out …

Voice assistants are fundamentally changing the way we access information. However,
voice assistants still leverage little about the web beyond simple search results. We …

Automated driving raises new human factors challenges. There is a paradox that allows
drivers to perform non-driving related tasks (NDRTs), while benefiting from a driver who …

This paper examines sensor fusion techniques for modeling opportunities for proactive
speech-based in-car interfaces. We leverage the Is Now a Good Time (INAGT) dataset …