This research was conducted while I was a member of the CHIMe Lab and REVS program at Stanford.
- Safety and Partially Intelligent Cars: Creating Mental Models and Trust to Promote Driver Safety’ (three-year grant from Toyota CSRC; with Key Lee and Yeon Joo) Examines human factors in partially automated vehicles with a focus on the design of the transition between automated and manual driving, situational awareness, and the critical role of the drivers’ mental model of automated vehicles.
- Automotive center-console GUI (with Keiko Katsuragawa and Becky Currano) What could be a more intuitive GUI in the car than the usual icon- and text-based menu interface? The ‘object-oriented’ GUI skips the artificial hierarchy of a menu and enables interaction with a representation of manipulable objects in the car. Which interface is safer, faster, and easier to learn to navigate? Try the demo!
- Automotive voice recommendation system (with Keiko Katsuragawa and Becky Currano) To what extent is your likelihood of accepting a service recommendation based on your familiarity with the service and the recommendation message? Can such insights effectively optimize recommendation systems?
- Exploratory analysis of EEG and vehicle data for race car drivers to extract what actions (or events) are associated with high mental workload for such experienced drivers.