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How Social Robots Will Help Us to Diagnose, Treat, and Understand Autism

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Robotics Research

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 28))

Abstract

Autism is a pervasive developmental disorder that is characterized by social and communicative impairments. Social robots recognize and respond to human social cues with appropriate behaviors. Social robots, and the technology used in their construction, can be unique tools in the study of autism. Based on three years of integration and immersion with a clinical research group, this paper discusses how social robots will make an impact on the ways in which we diagnose, treat, and understand autism.

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References

  1. Cynthia Breazeal, Aaron Edsinger, Paul Fitzpatrick, Brian Scassellati, and Paulina Varchavskaia. Social constraints on animate vision. IEEE Intelligent Systems, July/August 2000.

    Google Scholar 

  2. A. Bailey, W. Phillips, and W. Rutter. Autism: Towards an integration of clinical, genetic, neuropsychological, and neurobiological perspectives. Journal of Child Psychology and Psychiatry, 37:89–126, 1996.

    Article  Google Scholar 

  3. K. Dautenhahn. Design issues on interactive environments for children with autism. In Proceedings International Conference on Disability, Virtual Reality and Associated Technologies (ICDVRAT), pages 153–161, 2000.

    Google Scholar 

  4. Centers for Disease Control and Prevention. http://www.cdc.gov/ncbddd/dd/ddautism.htm, 2006.

    Google Scholar 

  5. A. Klin, W. Jones, R. Schultz, F. Volkmar, and D. Cohen. Defining and quantifying the social phenotype in autism. American Journal of Psychiatry, 159(6):895–908, 2002.

    Article  Google Scholar 

  6. A. Klin, W. Jones, R. Schultz, F.R. Volkmar, and D.J. Cohen. Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism. Archives of General Psychiatry, 59(9):809–816, 2002.

    Article  Google Scholar 

  7. A. Klin, W. Jones, R.T. Schultz, and F.R. Volkmar. The enactive mind — from actions to cognition: Lessons from autism. Philosophical Transactions of the Royal Society, Biological Sciences, 358:345–360, 2003.

    Article  Google Scholar 

  8. A. Klin, J. Lang, D.V. Cicchetti, and F.R. Volkmar. Interrater reliability of clinical diagnosis and dsm-iv criteria for autistic disorder: Results of the dsm-iv autism field trial. Journal of Autism and Developmental Disorders, 30(2):163–167, 2000.

    Article  Google Scholar 

  9. A. Klin. Young autistic children’s listening preferences in regard to speech: A possible characterization of the symptom of social withdrawal. Journal of Autism and Developmental Disorders, 21(1):29–42, 1991.

    Article  MathSciNet  Google Scholar 

  10. H. Kozima, C. Nakagawa, and H. Yano. Designing a robot for spatiotemporal contingency-detection game. In International Workshop on Robotic and Virtual Agents in Autism Therapy YEAR = 2000,.

    Google Scholar 

  11. C. Lord. Follow-up of two-year olds referred for possible autism. Journal of Child Psychology and Psychiatry, 46(8):1365–1382, 1995.

    Article  Google Scholar 

  12. F. Michaud and C. Thberge-Turmel. Mobile robotic toys and autism. In Kerstin Dautenhahn, Alan Bond, Lola Canamero, and Bruce Edmonds, editors, Socially Intelligent Agents-Creating Relationships with Computers and Robots, pages 125–132. Kluwer Academic Publishers, 2002.

    Google Scholar 

  13. E.M. Mullen. Mullen Scales of Early Learning: AGS Edition. American Guidance Service, Circle Pines, MN, 1995.

    Google Scholar 

  14. R. Paul. Communicative competence in individuals with autism. In F.R. Volkmar, R. Paul, A. Klin, and D.J. Cohen, editors, Handbook of Autism and Pervasive Developmental Disorders. Wiley, New York, 3rd edition edition, 2005.

    Google Scholar 

  15. A. Robinson-Mosher and B. Scassellati. Prosody recognition in male infant-directed speech. In Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004.

    Google Scholar 

  16. S.S. Sparrow, D. Balla, and D. Cicchetti. Vineland Adaptive Behavior Scales, Expanded Edition. American Guidance Service, Circle Pines, MN, 1984.

    Google Scholar 

  17. Brian Scassellati. Foundations for a Theory of Mind for a Humanoid Robot. PhD thesis, Massachusetts Institute of Technology, 2001.

    Google Scholar 

  18. Brian Scassellati. Theory of mind for a humanoid robot. Autonomous Robots, 12(1):13–24, 2002.

    Article  MATH  Google Scholar 

  19. B. Scassellati. Investigating modesl of social development using a humanoid robot. In Proceedings of the International Joint Conference on Neural Networks, 2003. CD-ROM.

    Google Scholar 

  20. R.T. Schultz and C. Kleinman. Personal communication. 2005.

    Google Scholar 

  21. L. Shriberg, J. Kwiatkowski, and C. Rasmussen. Prosody-Voice Screening Profile. Communication Skillbuilders, Tuscon, AZ, 1990.

    Google Scholar 

  22. L.D. Shriberg, R. Paul, J.L. McSweeny, A. Klin, D.J. Cohen, and F.R. Volkmar. Speech and prosody characteristics of adolescents and adults with high functioning autism and asperger syndrome. Journal of Speech, Language, and Hearing Research, 44:1097–1115, 2001.

    Article  Google Scholar 

  23. R.T. Schultz and D. Robins. Functional neuroimaging studies of autism. In F.R. Volkmar, R. Paul, A. Klin, and D.J. Cohen, editors, Handbook of Autism and Pervasive Developmental Disorders. Wiley, New York, 3rd edition edition, 2005.

    Google Scholar 

  24. F.R. Volkmar, K. Chawarska, and A. Klin. Autism in infancy and early childhood. Annual Review of Psychology, 56:315–36, 2005.

    Article  Google Scholar 

  25. F.R. Volkmar, C. Lord, A. Bailey, R.T. Schultz, and A. Klin. Autism and pervasive developmental disorders. Journal of Child Psychology and Psychiatry, 45(1):1–36, 2004.

    Article  Google Scholar 

  26. I.P. Werry and K. Dautenhahn. Applying mobile robot technology to the rehabilitation of autistic children. In Proceedings of SIRS’ 99, Symposium on Intelligent Robotics Systems, 1999.

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Scassellati, B. (2007). How Social Robots Will Help Us to Diagnose, Treat, and Understand Autism. In: Thrun, S., Brooks, R., Durrant-Whyte, H. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48113-3_47

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  • DOI: https://doi.org/10.1007/978-3-540-48113-3_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48110-2

  • Online ISBN: 978-3-540-48113-3

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