[3Q4-GS-8] Robot and real worlds:

[3Q4-GS-8-01] Effects of a Robot Teaching Driving Based on the GROW Model on the Elderly

〇Felix Jimenez¹, Syo Sugita⁵, Masayoshi Kanoh², Tomohiro Yoshikawa³, Mitsuhiro Hayase⁴ (1. Aichi Prefectural University, 2. Chukyo University, 3. Suzuka University of Medical Science, 4. Sugiyama Jogakuen University, 5. AKKODiS Consulting Ltd.)

Keywords:Educational Support Robot, Teaching Driving, Collaborative Learning, Elderly

In recent years, educational robots that support learning have attracted attention. This study focuses on robots that teach driving skills. Previous studies have shown that collaborative learning with a robot using GROW (GROW Robot), which teaches situations and actions at each stage, is effective in teaching driving behavior to university students. However, in the current society, there is a high demand for teaching driving behavior to the elderly due to the increasing number of accidents caused by elderly drivers. Previous studies have not verified the effectiveness of this system for the elderly. In this paper, we investigate the effect of joint learning with the GROW robot on the elderly. The experiment compared three groups. The first group was the collaborative learning with a GROW robot. The second group was the collaborative learning with a robot that does not use the GROW model (conventional robot). The third group was a learning with a learning system. The experiments showed that the teaching by the GROW robot tended to be more memorable for the elderly than the teaching by the conventional robot and the learning system.