A Computational Model of Graded Cueing: Robots Encouraging Behavior Change

This work presents a model of the occupational therapy technique of graded cueing for teaching and practicing desirable health and social behaviors adapted for use in socially assistive human-machine interaction. Graded cueing is represented as a probabilistic model of first prompt choice based on the perceived user ability level. The model is used to increase imitation proficiency of children with autism spectrum disorders through a “Copy Cat” imitation game.

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