Using affective avatars and rich multimedia content for education of children with autism

Konstantinidis, Evdokimos I., Hitoglou-Antoniadou, Magda, Luneski , Andrej et al. (2 more authors) (2009) Using affective avatars and rich multimedia content for education of children with autism. In: Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments. Workshop on AHETA: "Assistive Healthcare & Educational Technologies for Special Target Groups" , 09-13 Jun 2009, Corfu, Greece. ACM International Conference Proceeding Series . ACM , New York, NY, USA . ISBN 978-1-60558-409-6

Abstract

Metadata

Authors/Creators:
  • Konstantinidis, Evdokimos I.
  • Hitoglou-Antoniadou, Magda
  • Luneski , Andrej
  • Panagiotis, Bamidis D.
  • Nikolaiodu, Maria
Copyright, Publisher and Additional Information: © ACM, 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in "Konstantinidis, E. I., Hitoglou-Antoniadou, M., Luneski, A., Bamidis, P. D., and Nikolaidou, M. M. 2009. Using affective avatars and rich multimedia content for education of children with autism. In Proceedings of the 2nd international Conference on Pervasive Technologies Related To Assistive Environments (Corfu, Greece, June 09 - 13, 2009). PETRA '09. ACM, New York, NY, 1-6. DOI= http://doi.acm.org/10.1145/1579114.1579172"
Keywords: Computer-aided learning, affective computing, autism, emotions, human-computer interaction, avatars.
Dates:
  • Published: 2009
Institution: The University of Sheffield
Academic Units: The University of Sheffield > University of Sheffield Research Centres and Institutes > South East European Research Centre (Sheffield)
Depositing User: Mr Andrej Luneski
Date Deposited: 15 Jul 2010 13:10
Last Modified: 19 Dec 2022 13:24
Published Version: http://doi.acm.org/10.1145/1579114.1579172
Status: Published
Publisher: ACM
Series Name: ACM International Conference Proceeding Series
Refereed: Yes
Identification Number: https://doi.org/10.1145/1579114.1579172

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