Mutual awareness between driver and other road users is currently limited, which often results in uncertain and unsafe situations for vulnerable road users. Driving automation can exacerbate the problem, as drivers may be disengaged from the driving task and unaware of dangers, while pedestrians are unable to estimate the intention of automated vehicles. Fluid internal and external interfaces coordinate information and joint-action recommendations addressing all user categories, while adapting to their respective states and conditions like, e.g., distracted drivers and older pedestrians, to optimize efficiency, comfort and safety.

For this topic, Paolo Pretto from the coordinator team of the HEIDI project gave a Keynote speech at the Human Computer Interaction Conference in Ljubljana, Slovenia.