Building Successful Long Child-Robot Interactions in a Learning Context

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  • Presented at: 11th ACM/IEEE Conference on Human-Robot Interaction, Christchurch, New Zealand, 2016
  • Published in: Proceedings of the 2016 ACM/IEEE Human-Robot Interaction Conference, p. 239-246
  • Series: ACMIEEE International Conference on Human-Robot Interaction
  • New York: IEEE, 2016

The CoWriter activity involves a child in a rich and complex interaction where he has to teach handwriting to a robot. The robot must convince the child it needs his help and it actually learns from his lessons. To keep the child engaged, the robot must learn at the right rate, not too fast otherwise the kid will have no opportunity for improving his skills and not too slow otherwise he may loose trust in his ability to improve the robot’ skills. We tested this approach in real pedagogic/therapeutic contexts with children in difficulty over repeated long sessions (40-60 min). Through 3 different case studies, we explored and refined experimental designs and algorithms in order for the robot to adapt to the troubles of each child and to promote their motivation and self-confidence. We report positive observations, suggesting commitment of children to help the robot, and their comprehension that they were good enough to be teachers, overcoming their initial low confidence with handwriting.

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