In this experiment, we analyzed drivers' visual attention during their first experiences with
automated driving (AD). At the beginning of the study, participants (n= 45) received one of …

Objective This study aims to understand drivers' visual attention before and after take-over
requests during automated driving (AD), when the vehicle is fully responsible for the driving …

Supplying training to drivers that teaches them about automated driving and requests to
intervene may help them to build and maintain a mental representation of how automation …

The loss of situation awareness (SA) caused by the out-of-the-loop phenomenon is a major
problem for successful take-overs after highly automated driving. Despite recent advances in …

We developed a new method for simultaneously assessing theworkload of a driver and a
non-driver engaged in natural conversation either inthe vehicle or over a cell phone. For …

Past research on human factors of automated driving has primarily focused on human
performance aspects in takeover situations after partially or conditionally automated driving …

Existing research on control-transitions from automated driving (AD) to manual driving
mainly stems from studies in virtual settings. There is a need for studies conducted in real …

This driving simulator study, conducted as part of the EC-funded AdaptIVe project, assessed
drivers' visual attention distribution during automation and on approach to a critical event …

This desktop driving simulator study investigated the effect of engagement in a reading task
during vehicle automation on drivers' ability to resume manual control and successfully …

The use of partially-automated or SAE level-2 vehicles is expected to change the role of the
human driver from operator to supervisor, which may have an effect on the driver's workload …