Presentation
Estimating Mode Awareness of Drivers Interacting With an Automated Vehicle
DescriptionDriving automation introduces multiple modes to enhance benefits, but drivers must monitor and stay aware of these modes, which can sometimes lead to mode confusion. We modified Degani and Heymann’s (2002) state diagram method to assess the mode structure of a hypothetical driving automation system and the likelihood of discrepancies between drivers’ mode awareness and actual modes. The modified diagram maps all possible combinations of actual modes and drivers’ awareness, highlighting where they diverge, and estimates the probabilities of the divergence. We tested the method by creating a state diagram using driving simulation data from participants who weren't fully informed about all possible automation modes. The diagram identified areas where human-machine interface (HMI) design can help drivers maintain accurate mode awareness. The modified state diagram method provides actionable insights for designing HMIs to reduce mode confusion and can be used to develop and test computational models of automation mode structures.
Contributors
Event Type
Industry/Practitioner Case Study
Lecture
TimeWednesday, September 11th8:30am - 8:50am MST
LocationFLW Salon G
Surface Transportation