Advertisement

An Android Head for Social-Emotional Intervention for Children with Autism Spectrum Conditions

  • Andra Adams
  • Peter Robinson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6975)

Abstract

Many children with autism spectrum conditions (ASC) have difficulties recognizing emotions from facial expressions. Behavioural interventions have attempted to address this issue but their drawbacks have prompted the exploration of new intervention strategies. Robots have proven to be an engaging and effective possibility. Our work will investigate the use of a facially-expressive android head as a social partner for children with ASC. The main goal of this research is to improve the emotion recognition capabilities of the children through observation, imitation and control of facial expressions on the android.

Keywords

Autism Spectrum Disorder Facial Expression Emotion Recognition Asperger Syndrome Autism Spectrum Condition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Afzal, S., Robinson, P.: Natural affect data - collection & annotation in a learning context. In: ACII 2009, pp. 1–7. IEEE, Los Alamitos (2009)Google Scholar
  2. 2.
    Ambady, N., Rosenthal, R.: Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. Psychological Bulletin 111(2) (1992)Google Scholar
  3. 3.
    Baron-Cohen, S.: Mindblindness: an essay on autism and theory of mind. MIT Press, Cambridge (2001)Google Scholar
  4. 4.
    Baron-Cohen, S., Golan, O., Ashwin, E.: Can emotion recognition be taught to children with autism spectrum conditions? Philosophical Transactions of the Royal Society B: Biological Sciences 364(1535), 3567 (2009)CrossRefGoogle Scholar
  5. 5.
    Baron-Cohen, S., Golan, O., Wheelwright, S., Hill, J.J.: Mind reading: the interactive guide to emotions (2004)Google Scholar
  6. 6.
    Baron-Cohen, S., Scott, F.J., Allison, C., Williams, J., Bolton, P., Matthews, F.E., Brayne, C.: Prevalence of autism-spectrum conditions: UK school-based population study. The British Journal of Psychiatry 194(6), 500 (2009)CrossRefGoogle Scholar
  7. 7.
    Bassili, J.N.: Facial motion in the perception of faces and of emotional expression. Journal of Experimental Psychology: Human Perception and Performance 4(3), 373 (1978)Google Scholar
  8. 8.
    Bauminger, N.: The facilitation of social-emotional understanding and social interaction in high-functioning children with autism: Intervention outcomes. Journal of Autism and Developmental Disorders 32(4), 283–298 (2002)CrossRefGoogle Scholar
  9. 9.
    Breazeal, C., Brooks, R.: Robot emotion: A functional perspective. Who Needs Emotions, 271–210 (2005)Google Scholar
  10. 10.
    Dautenhahn, K., Werry, I.: Towards interactive robots in autism therapy: Background, motivation and challenges. Pragmatics & Cognition 12(1), 1–35 (2004)Google Scholar
  11. 11.
    Dawson, G., Adams, A.: Imitation and social responsiveness in autistic children. Journal of Abnormal Child Psychology 12(2), 209–226 (1984)CrossRefGoogle Scholar
  12. 12.
    Golan, O., Ashwin, E., Granader, Y., McClintock, S., Day, K., Leggett, V., Baron-Cohen, S.: Enhancing emotion recognition in children with autism spectrum conditions: an intervention using animated vehicles with real emotional faces. Journal of Autism and Developmental Disorders 40(3), 269–279 (2010)Google Scholar
  13. 13.
    Golan, O., Baron-Cohen, S.: Systemizing empathy: Teaching adults with asperger syndrome or high-functioning autism to recognize complex emotions using interactive multimedia. Development and Psychopathology 18(02), 591–617 (2006)CrossRefGoogle Scholar
  14. 14.
    Hess, U., Adams, R.B., Kleck, R.E.: The face is not an empty canvas: how facial expressions interact with facial appearance. Philosophical Transactions of the Royal Society B: Biological Sciences 364(1535), 3497 (2009)CrossRefGoogle Scholar
  15. 15.
    Hopkins, I.M., Gower, M.W., Perez, T.A., Smith, D.S., Amthor, F.R., Casey Wimsatt, F., Biasini, F.J.: Avatar assistant: Improving social skills in students with an ASD through a computer-based intervention. Journal of Autism and Developmental Disorders, 1–13 (2011)Google Scholar
  16. 16.
    Howlin, P., Baron-Cohen, S., Hadwin, J.: Teaching children with autism to mind-read: A practical guide for teachers and parents. J. Wiley & Sons, Chichester (1999)Google Scholar
  17. 17.
    Ingersoll, B., Gergans, S.: The effect of a parent-implemented imitation intervention on spontaneous imitation skills in young children with autism. Research in Developmental Disabilities 28(2), 163–175 (2007)Google Scholar
  18. 18.
    Michaud, F., Théberge-Turmel, C.: Mobile robotic toys and autism. Socially Intelligent Agents, pp. 125–132 (2002)Google Scholar
  19. 19.
    Nadel, J., Guérini, C., Pezé, A., Rivet, C.: The evolving nature of imitation as a format for communication (1999)Google Scholar
  20. 20.
    American Psychiatric Association Task Force on DSM-IV. In: Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. Amer. Psychiatric Pub. Inc., Washington (2000)Google Scholar
  21. 21.
    Pioggia, G., Sica, M.L., Ferro, M., Igliozzi, R., Muratori, F., Ahluwalia, A., De Rossi, D.: Human-robot interaction in autism: FACE, an android-based social therapy. In: The 16th IEEE International Symposium on Robot and Human Interactive Communication, pp. 605–612. IEEE, Los Alamitos (2007)Google Scholar
  22. 22.
    Riby, D.M., Doherty-Sneddon, G., Bruce, V.: The eyes or the mouth? Feature salience and unfamiliar face processing in williams syndrome and autism. The Quarterly Journal of Experimental Psychology 62(1), 189–203 (2009)CrossRefGoogle Scholar
  23. 23.
    Robins, B., Dautenhahn, K., Dubowski, J.: Does appearance matter in the interaction of children with autism with a humanoid robot? Interaction Studies 7(3), 509–542 (2006)CrossRefGoogle Scholar
  24. 24.
    Rozin, P., Cohen, A.B.: High frequency of facial expressions corresponding to confusion, concentration, and worry in an analysis of naturally occurring facial expressions of americans. Emotion 3(1), 68 (2003)Google Scholar
  25. 25.
    Saragih, J.M., Lucey, S., Cohn, J.F.: Face alignment through subspace constrained mean-shifts. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 1034–1041. IEEE, Los Alamitos (2009)CrossRefGoogle Scholar
  26. 26.
    Scassellati, B.: How social robots will help us to diagnose, treat, and understand autism. Robotics Research, 552–563 (2007)Google Scholar
  27. 27.
    Silver, M., Oakes, P.: Evaluation of a new computer intervention to teach people with autism or asperger syndrome to recognize and predict emotions in others. Autism 5(3), 299 (2001)CrossRefGoogle Scholar
  28. 28.
    Tanaka, J.W., Wolf, J.M., Klaiman, C., Koenig, K., Cockburn, J., Herlihy, L., Brown, C., Stahl, S., Kaiser, M.D., Schultz, R.T.: Using computerized games to teach face recognition skills to children with autism spectrum disorder: the Let’s Face It! program. Journal of Child Psychology and Psychiatry 51(8), 944–952 (2010)CrossRefGoogle Scholar
  29. 29.
    Valstar, M.F., Pantic, M.: Induced disgust, happiness and surprise: an addition to the MMI facial expression database. In: International Language Resources and Evaluation Conference (May 2010)Google Scholar
  30. 30.
    Valstar, M.F., Pantic, M., Ambadar, Z., Cohn, J.F.: Spontaneous vs. posed facial behavior: automatic analysis of brow actions. In: Proceedings of the 8th International Conference on Multimodal Interfaces, ICMI 2006, pp. 162–170. ACM, New York (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andra Adams
    • 1
  • Peter Robinson
    • 1
  1. 1.Computer LaboratoryUniversity of CambridgeUK

Personalised recommendations