An embodied AI approach to individual differences: Supporting self-efficacy in diabetic children with an autonomous robot

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Abstract

In this paper we discuss how a motivationally autonomous robot, designed using the principles of embodied AI, provides a suitable approach to address individual differences of children interacting with a robot, without having to explicitly modify the system. We do this in the context of two pilot studies using Robin, a robot to support selfconfidence in diabetic children.

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Lewis, M., Oleari, E., Pozzi, C., & Cañamero, L. (2015). An embodied AI approach to individual differences: Supporting self-efficacy in diabetic children with an autonomous robot. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9388 LNCS, pp. 401–410). Springer Verlag. https://doi.org/10.1007/978-3-319-25554-5_40

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