A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction

• DOI: 10.1007/s12369-016-0356-9
• Publication Date: 2016-06-29T22:02:49Z
• Authors: Raquel Ros; Elettra Oleari; Clara Pozzi; Francesca Sacchit...; Daniele Baranzini; Anahita Bagherzad...; Alberto Sanna; Yiannis Demiris
• Keywords: Technology; Engagement; 0209 industrial biotechnology; Science & Technology; 4. Education; 150; Robotics; 02 engineering and technology; Long-term interaction; Child-robot interaction; Motivational support; Creative dance

We examine the use of role-switching as an intrinsic motivational mechanism to increase engagement in long-term child–robot interaction. The present study describes a learning framework where children between 9 and 11-years-old interact with a robot to improve their knowledge and habits with regards to healthy life-styles. Experiments were carried out in Italy where 41 children were divided in three groups interacting with: (i) a robot with a role-switching mechanism, (ii) a robot without a role-switching mechanism and (iii) an interactive video. Additionally, a control group composed of 43 more children, who were not exposed to any interactive approach, was used as a baseline of the study. During the intervention period, the three groups were exposed to three interactive sessions once a week. The aim of the study was to find any difference in healthy-habits acquisition based on alternative interactive systems, and to evaluate the effectiveness of the role-switch approach as a trigger for engagement and motivation while interacting with a robot. The results provide evidence that the rate of children adopting healthy habits during the intervention period was higher for those interacting with a robot. Moreover, alignment with the robot behaviour and achievement of higher engagement levels were also observed for those children interacting with the robot that used the role-switching mechanism. This supports the notion that role-switching facilitates sustained long-interactions between a child and a robot.