The Impact of Autonomous Driving Takeover Assistance Information Design on Driver Takeover Performance and Situational Awareness

Abstract: When the L3 autonomous driving system reaches the system boundary and is no longer able to perform operations safely, the system may still help the driver return to the driving task in a safe manner by providing takeover assistance information. This research explores the impact of HMI presenting different levels of takeover assistance information on driver takeover performance and situational awareness in autonomous driving scenarios. Experimental results show that for drivers with rich driving experience, HMI should focus on providing (SA1) situation awareness and (SA2) scene understanding; while for drivers with little driving experience, HMI should provide a combination of (SA1) situation awareness, (SA2) scene understanding (SA2) HMI for scene understanding and (SA3) behavior prediction. Based on this, a takeover auxiliary information model based on situational awareness was constructed. Which can better assist drivers with different driving experience to quickly establish situational awareness and make correct decisions during autonomous driving takeover, thereby achieving safe takeover. The research results provide certain guidance for the information design in the takeover process of future autonomous vehicles, and also emphasize the necessity of considering driving experience as an influencing factor in the design of auxiliary information for takeover.

Keywords: L3 Level Autonomous Driving, Takeover Auxiliary Information Design, Situational Awareness, Takeover Influencing Factors, HMI

DOI: 10.54941/ahfe1005232

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