… AVs by applying a ML modeling method that is capable of providing reliable and interpretable
information from multi-level data. Thus, the estimated (learned) model must be usable and …

… Research on the acceptance of vehicle automation in the posterior context is abundant.
Multiple studies have found that drivers do not always positively adapt to ADAS and may even …

… Participant’s intention to use conditionally automated vehicles when they … automated car
when they become publicly available” and “It’s likely that I will use a conditionally automated car …

… the factors affecting fully Automated Vehicles (AVs) acceptance and their association with …
time by car, and distance of driving cars). Being less exposed to automation technology is …

… The role of the driver cannot be underestimated as it will ultimately be the most relevant
aspect for trust building and social acceptance of this technology. Here we introduce a driver-…

… for automated vehicle acceptance, and assess whether compatibility can substitute
performance expectancy as strong and robust predictor of automated vehicle acceptance. …

… nature of Automated Vehicle (AV) education's effectiveness, given the fact that existing
research has identified factors that associated with the change of AV acceptance between before …

… of conditionally automated cars, … model which prescribes six levels of automation for vehicles.
The classification [7] initiates at level zero which reflects vehicles that have no automation …

In this era of active development of autonomous vehicles, it becomes crucial to provide driving
systems with the capacity to explain their decisions. In this work, we focus on generating …

… Autonomous vehicles (AVs) are driverless vehicles that can sense their environment without
… environmental awareness, planning decisions and multi-level assisted driving. With the …