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Electric vehicles and automated vehicles are getting more pervasive in our everyday life. Ideally, fully automated vehicles that drivers can completely trust would be the best solution. However, due to technical limitations and human factors issues, fully automated vehicles are still under test, and no concrete evidence has yet shown their functionalities are superior to human cognition and operation. In the Mind Music Machine Lab, we are actively conducting research on connected and automated vehicles, mainly using driving simulators. This talk specifically focuses on multimodal interactions between a driver and a vehicle as well as the driver and nearby drivers. In this autonomous driving context, we facilitate the collaborative driving by estimating the driver’s cognitive and affective states using multiple sensors (e.g., computer vision, physiological devices) and by communicating via auditory and gestural channels. Future works include refining our designs for diverse populations, including drivers with difficulties/disabilities, passengers, pedestrians, etc.
Psychology | Teacher Education and Professional Development
Jeon, Myounghoon, "Multimodal interaction in conneted automated vehicles" (2017). TechTalks. 30.