Information Sharing System Based on Situation Comprehensions of Intelligent Vehicles to Improve Drivers’ Acceptability for Proactive ADAS

Abstract

Abstract. This research focuses on improving elderly drivers' acceptability for proactive collision avoidance systems by passive information sharing with drivers. In this paper, visual contents by concentric circles for informing risky areas and ones by dot line for informing predicted path of surrounding traffic participants were proposed as the prototypes for sharing situation comprehensions of the intelligent vehicle. The evaluation experiment with a driving simulator revealed the effectiveness of the proposed visual contents for improving acceptability and the further challenges relating to the mental models of functions of intelligent vehicles.