  With the growing technological advances in autonomous driving, the transport
industry and research community seek to determine the impact that autonomous
vehicles (AV) will have on consumers, as well as identify the different factors
that will influence their use. Most of the research performed so far relies on
laboratory-controlled conditions using driving simulators, as they offer a safe
environment for testing advanced driving assistance systems (ADAS). In this
study we analyze the behavior of drivers that are placed in control of an
automated vehicle in a real life driving environment. The vehicle is equipped
with advanced autonomy, making driver control of the vehicle unnecessary in
many scenarios, although a driver take over is possible and sometimes required.
In doing so, we aim to determine the impact of such a system on the driver and
their driving performance. To this end road users' behavior from naturalistic
driving data is analyzed focusing on awareness and diagnosis of the road
situation. Results showed that the road features determined the level of visual
attention and trust in the automation. They also showed that the activities
performed during the automation affected the reaction time to take over the
control of the vehicle.
