SIP-adus Human Factors & HMI Research for Automated Driving Experiments on External HMI

Human drivers are conducting various communication with peripheral traffic participants such as pedestrians and other drivers in order to improve safety and traffic efficiency.

For example, they use eye-contact, hand-gesture, etc. However, how do automated vehicles communicate with peripheral traffic participants? In this presentation, we introduce human factors and HMI research for automated driving experiments on external HMI.

Bio

Tatsuru Daimon is a professor at Faculty of Science and Technology, Keio University in Japan. He received Ph.D. degree from Keio University in 1995. He conducted researches on human factors of car navigations and firings of primary neurons of cutaneous sensation as a COE (Center of Excellence) visiting researcher, National Institute of Bioscience and Human-Technology, MITI, Japan, and visual contents of route guidance system as a foreign researcher of French National Institute for Transport and Safety Research in 1995 and 1996 respectively. Since then, he has researched human factors and human machine interfaces (HMI) of Intelligent Transport Systems (ITS) such as advanced HUD and in-vehicle/roadside cooperative information systems, based on a simulator and a field experiments in Keio University. In recent years, he has been also researching human factors and HMI of automated driving systems, which includes external HMI for communication between automated vehicle and surrounding road users.

Further information

Further information and recordings of previous seminars can be found here: www.its.leeds.ac.uk/about/events/seminar-series/