With the recent advances in information and communication technology and the increasing performance of information machines, automotive driving technology has been attracting attention. Among them, eHMI (external Human Machine Interface) that displays texts and signs as a method of intention communication has been actively developed. However, there are cases where the intention or purpose of the presented information is difficult to understand, or the differences in language and culture lead to different interpretations. Therefore, a method of intention communication that pedestrians intuitively understand the driver’s intention is required. We have previously developed a twinkling eye interface that superimposes a human shadow on a hemispherical display that mimics the human eyeball. In this interface, focusing on the self-reference effects that objectively grasp the self, in addition to the gaze presentation, the self-shadow is superimposed to clarify the recognition the self. It was demonstrated that the clarified self supports intuitive understanding, such as easier attention and increased interest. Therefore, by incorporating a twinkling eye interface into the eHMI, it is expected to develop an intention communication method that can be intuitively understood by pedestrians. In this study, we developed i-EyFuze, which clarifies the recognition target by pupil fluctuation and superimposed composition of people.
Yamazaki et al. (Wed,) studied this question.