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

Matthew Lewis; Elettra Oleari; Clara Pozzi; Lola Cañamero

doi:10.1007/978-3-319-25554-5_40

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

Matthew Lewis, Elettra Oleari, Clara Pozzi, Lola Cañamero

IRCCS Ospedale San Raffaele

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	401-410
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9388
DOIs	https://doi.org/10.1007/978-3-319-25554-5_40
Publication status	Published - 2015

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-319-25554-5_40

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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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9388, 401-410. https://doi.org/10.1007/978-3-319-25554-5_40

An embodied AI approach to individual differences : Supporting self-efficacy in diabetic children with an autonomous robot. / Lewis, Matthew; Oleari, Elettra; Pozzi, Clara; Cañamero, Lola.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 9388, 2015, p. 401-410.

Research output: Contribution to journal › Article › peer-review

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', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9388, pp. 401-410. https://doi.org/10.1007/978-3-319-25554-5_40

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

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