Driver assistance systems, also called automated driving systems, allow drivers to immerse
themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automated …

Operators of highly automated driving systems may exhibit behaviour characteristic for
overtrust issues due to an insufficient awareness of automation fallibility. Consequently …

Highly automated driving (HAD) is expected to improve future road transport, especially for
older adults, provided that it is trusted and accepted by drivers. Research on Advanced …

Recent studies have investigated new approaches for communicating an autonomous
vehicle's (AV) intent and awareness to pedestrians. This paper adds to this body of work by …

This article reports on a study to investigate how the driving behaviour of autonomous
vehicles influences trust and acceptance. Two different designs were presented to two …

Trust miscalibration, a mismatch between a person's trust in automation and the system's
actual reliability, can lead to either misuse or disuse of automation. Existing techniques to …

Because one of the largest influences on trust in automation is the familiarity with the system,
we sought to examine the effects of familiarity on driver interventions while using the …

Despite a growing body of research about the design and use of Smart Personal Assistants,
such as Google's Assistant or Amazon's Alexa, existing work has mainly focused on their …

Artificial agents that interact with other (human or artificial) agents require models in order to
reason about those other agents' behavior. In addition to the predictive utility of these …

The inevitable increase in real-world robot applications will, consequently, lead to more
opportunities for robots to have observable failures. Although previous work has explored …