ADAS · Human factors
Making automation legible in motion
Researching how drivers notice, interpret, and respond to assisted-driving states while attention is divided and the environment keeps changing.
How might an interface communicate system capability and responsibility without adding cognitive load?
On-road and controlled concept evaluations, behavioral observation, task-based measures, mental-model probes, and post-drive interviews.
Actionable HMI direction for clearer mode awareness, better trust calibration, and safer driver–system coordination.