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In this study, we focus on the effectiveness of information sharing as a practical method for improving elderly drivers' understanding of a proactive steering intervention system that is triggered several seconds before a driver enters a dangerous situation. Because the situation of steering intervention is more complex than that of braking intervention, there are two characteristic topics to be investigated: prevention of information overload by provided visual contents, and reduction of subjective strangeness due to the steering intervention. At first, we implement four kinds of prototypes of visual content for the head-up display. After that, we investigate basic characteristics of various usages of the implemented prototype visual content using questionnaires. As a result of our experiments using a driving simulator, we confirm that information sharing using visual content is effective in improving elderly drivers' understanding of benefits, trust, and reducing the feeling of strangeness of our system. In addition, from the comparisons between single and multiple uses of visual content, we propose methods to improve them further to prevent information overload.

This study focuses on improving the acceptability of elderly drivers for proactive intervention systems using information sharing. Based on the observations of our previous studies, we modify the visual contents for avoiding information overload. To evaluate them, we conduct a driving simulator experiment that 12 elderly drivers participate in. The results confirm that the modified contents basically maintain or improve the evaluation of conveying the intended meanings, reducing disturbance, and improving feeling of trust without causing information overload. In addition, we also confirm a significant effectiveness of information sharing to improve the acceptability under the 5% significance level using the Wilcoxon signed-rank test.

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.