Presentation
Comparing Static and Dynamic Vibration Cues in Wristband Haptic Feedback for Enhanced Driver Response in Automated Vehicles
DescriptionHigher levels of driving automation make effective takeover requests critical. The wrist’s sensitivity to vibration makes wrist-worn devices a potential carrier for sending these requests. However, the impacts of dynamic patterns (sequential stimuli occurring at different locations on the wrist) and static patterns (fixed stimuli at the same locations on the wrist) on takeover performance are unclear. Therefore, this study examined the effects of vibrotactile patterns on takeover performance among younger and older adults. Participants responded to four patterns (two dynamic, one static, and one baseline) in a simulated SAE Level 3 automated vehicle. Takeover performance was evaluated using response time and takeover time. The results show that the static and baseline patterns had statistically significant shorter response and takeover times compared to the dynamic patterns. Findings provide important insights for future design of human-machine interfaces via wrist-worn devices for automated vehicles.
Contributors
Assistant Professor
Event Type
Lecture
TimeThursday, September 12th11:45am - 12:15pm MST
LocationFLW Salon G
Surface Transportation