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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

200 Downloads (Pure)

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 self-confidence in diabetic children.

Original language	English
Title of host publication	Social Robotics
Editors	Adriana Tapus, Elisabeth André, Jean-Claude Martin, François Ferland, Mehdi Ammi
Publisher	Springer Nature
Pages	401-410
Number of pages	10
Volume	9388
ISBN (Electronic)	978-3-319-25554-5
ISBN (Print)	978-3-319-25553-8
DOIs	https://doi.org/10.1007/978-3-319-25554-5_40
Publication status	Published - Oct 2015
Event	7th Int Conf on Social Robotics (ICSR 2015) - Paris, France Duration: 26 Oct 2015 → 30 Oct 2015

Publication series

Name	Lecture Notes in Computer Science
Volume	9388

Conference

Conference	7th Int Conf on Social Robotics (ICSR 2015)
Country/Territory	France
City	Paris
Period	26/10/15 → 30/10/15

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

Lewis_Canamero_ICSR_2015_Robin_dissemAccepted author manuscript, 1.54 MB

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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 A. Tapus, E. André, J.-C. Martin, F. Ferland, & M. Ammi (Eds.), Social Robotics (Vol. 9388, pp. 401-410). (Lecture Notes in Computer Science; Vol. 9388). Springer Nature . https://doi.org/10.1007/978-3-319-25554-5_40

Lewis, Matthew ; Oleari, Elettra ; Pozzi, Clara et al. / An Embodied AI Approach to Individual Differences : Supporting Self-Efficacy in Diabetic Children with an Autonomous Robot. Social Robotics. editor / Adriana Tapus ; Elisabeth André ; Jean-Claude Martin ; François Ferland ; Mehdi Ammi. Vol. 9388 Springer Nature , 2015. pp. 401-410 (Lecture Notes in Computer Science).

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title = "An Embodied AI Approach to Individual Differences: Supporting Self-Efficacy in Diabetic Children with an Autonomous Robot",

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 self-confidence 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 A Tapus, E André, J-C Martin, F Ferland & M Ammi (eds), Social Robotics. vol. 9388, Lecture Notes in Computer Science, vol. 9388, Springer Nature , pp. 401-410, 7th Int Conf on Social Robotics (ICSR 2015), Paris, France, 26/10/15. 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 et al.
Social Robotics. ed. / Adriana Tapus; Elisabeth André; Jean-Claude Martin; François Ferland; Mehdi Ammi. Vol. 9388 Springer Nature , 2015. p. 401-410 (Lecture Notes in Computer Science; Vol. 9388).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An Embodied AI Approach to Individual Differences

T2 - 7th Int Conf on Social Robotics (ICSR 2015)

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AU - Oleari, Elettra

AU - Pozzi, Clara

AU - Cañamero, Lola

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AB - 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 self-confidence in diabetic children.

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

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T3 - Lecture Notes in Computer Science

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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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