自動運転の挙動に対するリスク感の指標化

（期待効果理論を用いた個人差のモデル化）

抄録

Research and development of autonomous driving systems are undergoing to realize a safe and secure mobility society, and technological improvement is expected, but the safety of the system itself and the driver’s feeling of security do not always match. The purpose of this study was to quantify risk feeling perceived by the driver in consideration of individual differences. We extracted the factor of individual differences comprehensively to examine the model of risk feeling based on expectation effect theory. Using a driving simulator, we investigated the effect of extracted factor on the subjective report of risk feeling in the overtaking scene. In obtaining subjective assessment, we set up an adapting session and manipulated the driver's prior distribution to investigate the effect of the prediction error and uncertainty on the driving behavior. The result suggested that risk was perceived based on both the sense of the individual's driving characteristic regarding the anxious tendency and the experimentally manipulated prior prediction. Based on the obtained findings, we examined the model of individual differences in risk feeling.