Investigation of HMI and Education Methods for Advanced Automated Driving Systems

Abstract

This paper describes the research and development on HMI to carry out proper driving takeover in the event of a deviation from the driving environment conditions or a failure of the system, and research and development on the knowledge drivers and pedestrians should acquire, and effective education methods for that purpose initiatives of the second phase of SIP-Automated Driving for Universal Services. For the former, we studied evaluation parameters for driver situation monitoring before the transition from automated to manual driving, as well as the effectiveness of the HMI in fostering driver understanding of the system. We studied evaluation parameters for driver situation monitoring before the transition from automated to manual driving, as well as the effectiveness of the HMI in fostering driver understanding of the system. For the latter, guided by our main objectives, we defined and researched the three themes of (1) proposing education methods that build upon individual characteristics, (2) proposing motivational approaches, and (3) the development of modular educational material taking topic-specific training into account. Using our draft educational material, we also validated the effectiveness of providing advance general knowledge of automated driving in a driving simulator. The outcomes served as the basis for a workshop on automated driving education we held in the context of Japan–Germany cooperation.