In-car user interfaces (UIs) are becoming increasingly complex due to the abundance of information, assistance, and entertainment available to drivers in modern cars. Driver distraction is among the greatest contributors in safety-critical incidents in traffic. In this project, our aim is to validate that a new Drive-In Lab testbed can reliably differentiate distraction effects of in-car tasks. The new data is aimed to aid in designing and rating in-car interactions by identifying the best and worst practices in in-car UI design based on their distraction effects. We will analyze the utility of the produced data for relevant collaborators and stakeholders, such as Euro NCAP and automotive industry. If the novel methodology is proven valid and impactful, the testbed can have a great societal impact on reducing driver distraction and thereby, road fatality and injuries by improving traffic safety on the roads, worldwide.

2026

2027