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Towards empathic virtual and robotic tutors

Ginevra Castellano, Ana Paiva, Arvid Kappas, Ruth Aylett, Helen Hastie, Wolmet Barendregt, Fernando Nabais, Susan Bull

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Building on existing work on artificial tutors with human-like capabilities, we describe the EMOTE project approach to harnessing benefits of an artificial embodied tutor in a shared physical space. Embodied in robotic platforms or through virtual agents, EMOTE aims to capture some of the empathic and human elements characterising a traditional teacher. As such, empathy and engagement, abilities key to influencing student learning, are at the core of the EMOTE approach. We present non-verbal and adaptive dialogue challenges for such embodied tutors as a foundation for researchers investigating the potential for empathic tutors that will be accepted by students and teachers.
Original languageEnglish
Title of host publicationArtificial Intelligence in Education
EditorsH C Lane, K Yacef, J Mostow, P Pavlik
PublisherSpringer
Pages733-736
Volume7926
ISBN (Print)9783642391118
DOIs
Publication statusPublished - 22 Jun 2013
EventInternational Conference on Artificial Intelligence in Education - Memphis, United States
Duration: 9 Jul 201313 Jul 2013
https://sites.google.com/a/iis.memphis.edu/aied-2013-conference/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Artificial Intelligence in Education
Abbreviated titleAIED 2013
Country/TerritoryUnited States
CityMemphis
Period9/07/1313/07/13
Internet address

Keywords / Materials (for Non-textual outputs)

  • virtual and robotic tutor
  • affect recognition
  • adaptive behaviour

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