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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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Social Robotics (ICSR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9388))

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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 self-confidence in diabetic children.

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Authors and Affiliations

  1. Embodied Emotion, Cognition and (Inter-)Action Lab, School of Computer Science, University of Hertfordshire, AL10 9AB, Hatfield, UK

    Matthew Lewis & Lola Cañamero

  2. Fondazione Centro San Raffaele, Via Olgettina 60, 20132, Milan, Italy

    Elettra Oleari & Clara Pozzi

Authors
  1. Matthew Lewis
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  2. Elettra Oleari
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  3. Clara Pozzi
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  4. Lola Cañamero
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Corresponding authors

Correspondence to Matthew Lewis or Lola Cañamero .

Editor information

Editors and Affiliations

  1. Robotics and Computer Vision Lab, ENSTA-ParisTech, Palaiseau, France

    Adriana Tapus

  2. Inst für Informatik, Human-Ctr Multimedi, Universität Augsburg, Augsburg, Bayern, Germany

    Elisabeth André

  3. LIMSI-CNRS, Orsay, France

    Jean-Claude Martin

  4. Robotics and Computer Vision Lab, ENSTA-ParisTech, Palaiseau, France

    François Ferland

  5. LIMSI-CNRS, Orsay, France

    Mehdi Ammi

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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: Tapus, A., André, E., Martin, JC., Ferland, F., Ammi, M. (eds) Social Robotics. ICSR 2015. Lecture Notes in Computer Science(), vol 9388. Springer, Cham. https://doi.org/10.1007/978-3-319-25554-5_40

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  • DOI: https://doi.org/10.1007/978-3-319-25554-5_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25553-8

  • Online ISBN: 978-3-319-25554-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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