The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …

Appropriate Trust in Artificial Intelligence (AI) systems has rapidly become an important area
of focus for both researchers and practitioners. Various approaches have been used to …

Studies show that drivers' intention to use automated vehicles is strongly modulated by trust.
It follows that their benefits are unlikely to be achieved if users do not trust them. To date …

Contextual investigations of automated vehicle technology have so far been rare, however
they are crucial to uncover the challenges that exist around its acceptance and safe use …

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 …

Driver interaction with increasingly automated vehicles requires prior knowledge of system
capabilities, operational know-how to use novel car equipment and responsiveness to …

Automated driving systems are increasingly prevalent on public roads, but there is currently
little knowledge on the level of workload and stress of drivers operating an automated …

Technological innovations have made driving automation closer and closer to reality.
Despite this, the adoption of highly automated driving by the public is not guaranteed yet …

There is a growing body of research on trust in driving automation systems. In this paper, we
seek to clarify the way trust is conceptualized, calibrated and measured taking into account …