Learning Effect on the Elderly of Robots Teaching Driving Behavior Based on the GROW Model

抄録

In recent years, educational support robots that assist learning have attracted attention. This study focuses on robots that teach driving techniques. In driving schools, instructors teach drivers using a method that gradually teaches them about situations and actions. This teaching method is known as the GROW model. Previous studies have shown that collaborative learning with robots using the GROW model is an effective way of teaching driving behavior to university students. However, in today’s society, the number of accidents caused by elderly drivers is increasing, and the demand for teaching driving behaviors to the elderly is high. Therefore, it is important to verify the effectiveness of this approach for elderly drivers. This study investigated the effects of collaborative learning with a robot using the GROW model on elderly people. A comparative experiment was conducted using three groups: a robot with the GROW model, a conventional robot without the GROW model, and a learning system. The experimental results showed that compared to the conventional robot and learning system, the robot equipped with the GROW model was more memorable for the elderly.