초록

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Abstract ▼ AI-Helper

This study examines whether the reinforcement theory could be effectively applied to teaching assistant robots between a robot and a student in the same way as it is applied to teaching methods between a teacher and a student. Participants interacted with a teaching assistant robot in a 3 (types of ...

This study examines whether the reinforcement theory could be effectively applied to teaching assistant robots between a robot and a student in the same way as it is applied to teaching methods between a teacher and a student. Participants interacted with a teaching assistant robot in a 3 (types of robots: positive reinforcement vs. negative reinforcement vs. both reinforcements) by 2 (types of participants: honor students vs. backward students), within-subject experiment. Three different types of robots, such as 'Ching-chan-ee' which gives 'positive reinforcement', 'Um-bul-ee' which gives 'negative reinforcement', and 'Sang-bul-ee' which gives both 'positive and negative reinforcement' were designed based on the reinforcement theory and the token reinforcement system. Subjective impressions and preferences were measured according to the types of robots and the types of participants. Participants preferred the positive reinforcement robot most, and the negative reinforcement robot least. Regarding the number of stimulus, in case of the negative reinforcement robot for honor students, the less the stimulus is, the more positive the impressions toward the robot are. The findings demonstrate that the reinforcement interaction is important and effective factor which determines children's preferences and impressions for teaching assistant robots. The results of this study can be implicated as an effective guideline to interaction design of teaching assistant robots.

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