Investigating the Effect of Driving Support Robot Depending on Driver Characteristics

Driving support robots (DSRs) can change drivers' behavior and decrease traffic accidents; however, a one-size-fits-all approach cannot change the behavior of a wide range of drivers. To develop personalized DSRs, this study analyzed the improvements in driving behavior related to speeding and sudden acceleration/deceleration resulting from interactions between humans and DSRs. We found differences in the effect of the support provided by a DSR based on driver characteristics. These results indicate that the personalization of support based on driver characteristics has the potential to improve drivers' behavior more effectively.