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 proceedingConference contribution

3 Citations (Scopus)
193 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 languageEnglish
Title of host publicationSocial Robotics
EditorsAdriana Tapus, Elisabeth André, Jean-Claude Martin, François Ferland, Mehdi Ammi
PublisherSpringer Nature
Pages401-410
Number of pages10
Volume9388
ISBN (Electronic)978-3-319-25554-5
ISBN (Print)978-3-319-25553-8
DOIs
Publication statusPublished - Oct 2015
Event7th Int Conf on Social Robotics (ICSR 2015) - Paris, France
Duration: 26 Oct 201530 Oct 2015

Publication series

NameLecture Notes in Computer Science
Volume9388

Conference

Conference7th Int Conf on Social Robotics (ICSR 2015)
Country/TerritoryFrance
CityParis
Period26/10/1530/10/15

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