6) Research of HMI for Advanced Automated Driving Systems

Abstract

This paper outlines the efforts in "Development of evaluation methods of driver’s OEDR (Object and Event Detection and Response) and HMI for enhancing driver’ takeover in a transition from automated to manual driving (Task B)" in the second phase of SIP-adus (Cross-ministerial Strategic Innovation Promotion Program (SIP) Automated Driving for Universal Services). In Task B, we considered evaluation indices for the driver's peripheral monitoring status before a takeover from automated to manual driving, and the effects of HMI on the driver's understanding of the system. We conducted driving simulator experiments to study a method for the quantitative evaluation of the driver's OEDR in preparation for driving in a system-initiated driver takeover from Level 3 automated driving. From the experiment results, we identified an evaluation index for the driver's OEDR and determined the time required for appropriate OEDR. In driver-initiated driver takeover situations from Level 2 automated driving, we found that eye tracking are effective in evaluating the driver's attention state during Level 2 use. We also clarified the HMI requirements so that the driver can understand the functional limits of the system appropriately and respond appropriately before the functional limits are reached.