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: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)401-410
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9388
DOIs
Publication statusPublished - 2015

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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