We used neurometrics to study how the ADAS can affect drivers’ performances, behaviour and driving skills in the short, mid and long term.
The project, done in collaboration with University of Bologna and BrainSigns, investigates how the advanced driver assistance systems (ADAS) can affect the drivers’ behaviour and attention. It focuses in particular on Lane Keeping and Adaptive Cruise Control, studying the possible effect that each of them separately can produce on drivers’ performance, mental workload, driving behaviour and driving skills.
Measuring and comparing the performances of expert and novice users, it explored how the ADAS affect drivers’ performance in the short, mid and long term.
Performing driving test in real scenarios, it also investigated how the use of ADAS influences the driving style, and thus the relation with other vehicles and the external context.
Deep Blue provided Human Factors expertise in the project. We contribute to design, plan and execute the simulation activities needed to perform the study, ensuring the realism and the reliability of the human performances observed. We used our Human Factors expertise to develop data collection protocols to explore driving skills and behaviours and their implications on human performances and safety.