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A Case Study of Robot Interaction Among Individuals with Profound and Multiple Learning Disabilities

  • Jainendra ShuklaEmail author
  • Julián Cristiano
  • David Amela
  • Laia Anguera
  • Jaume Vergés-Llahí
  • Domènec Puig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9388)

Abstract

A tremendous amount of research is being performed regarding robot interaction with individuals having intellectual disability, especially for kids with Autism Spectrum Disorders (ASD). These researches have shown many promising advancements about the use of interactive robots for rehabilitation of such individuals. However, these studies fail to analyze and explore the effects of robotics interaction with individuals having profound and multiple learning disabilities (PMLD). This research presents a thorough case study regarding interaction of individuals having PMLD with a humanoid robot in different possible categories of robotic interaction. Separate interaction activities are designed as a representative for the different categories of possible clinical applications of the interactive robot. All the trials were assessed using different evaluation techniques. Finally, the results strongly suggest that robotic interactions can help to induce a target behavior among these individuals, to teach and to encourage them which can bring an autonomy to certain extent in their life.

Keywords

Human-Robot Interaction Profound and multilple learning disability PMLD NAO humanoid robot Clinical applications of interactive robots 

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References

  1. 1.
    Schalock, R.L., Borthwick-Duffy, S.A., Buntinx, W.H.E., et al.: Intellectual Disability: Definition, Classification, and Systems of Supports, 11th edn. American Association on Intellectual and Developmental Disabilities (AAIDD), Washington, D.C. (2010) Google Scholar
  2. 2.
    Bellamy, G., Croot, L., Bush, A., et al.: A study to define: profound and multiple learning disabilities (PMLD). Journal of Intellectual Disabilities 14(3), 221–235 (2010)CrossRefGoogle Scholar
  3. 3.
    European Intellectual Disability Research Network: Intellectual disability in Europe: Working papers. Canterbury: Tizard Centre, University of Kent at Canterbury (2003)Google Scholar
  4. 4.
    Maulik, P.K., Harbour, C.K.: Epidemiology of Intellectual Disability. International Encyclopedia of Rehabilitation (2010). http://cirrie.buffalo.edu/encyclopedia/en/article/144/
  5. 5.
    Moore, T., Hennessy, E.M., Myles, J., et al.: Neurological and developmental outcome in extremely preterm children born in England in 1995 and 2006, EPICure studies. BMJ 345, e7961 (2012)CrossRefGoogle Scholar
  6. 6.
    Rueda, J.R., Ballesteros, J., Tejada, M.I.: Systematic review of pharmacological treatments in fragile X syndrome. BMC Neurology 9–53 (2009)Google Scholar
  7. 7.
    Standen, P., Brown, D., Roscoe, J., Hedgecock, J., Stewart, D., Trigo, M.J.G., Elgajiji, E.: Engaging students with profound and multiple disabilities using humanoid robots. In: Stephanidis, C., Antona, M. (eds.) UAHCI 2014, Part II. LNCS, vol. 8514, pp. 419–430. Springer, Heidelberg (2014) Google Scholar
  8. 8.
    Robins, B., Dautenhahn, K., Boekhorst, T., et al.: Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills? Univers. Access. Inf. Soc. 4, 105–120 (2005)CrossRefGoogle Scholar
  9. 9.
    Scassellati, B.: Quantitative metrics of social response for autism diagnosis. In: IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2005, pp. 585–590 (2005)Google Scholar
  10. 10.
    Diehl, J.J., Schmitt, L.M., Villano, M., et al.: The Clinical Use of Robots for Individuals with Autism Spectrum Disorders: A Critical Review. Research in Autism Spectrum Disorders 6(1), 249–262 (2012)CrossRefGoogle Scholar
  11. 11.
    Warren, Z., Zheng, Z., Das, S., et al.: Brief report: development of a robotic intervention platform for young children with ASD. Journal of Autism and Developmental Disorders 1–7 (2014). ISSN 0162–3257Google Scholar
  12. 12.
    Wainer, J., Robins, B., Amirabdollahian, F., et al.: Using the Humanoid Robot KASPAR to Autonomously Play Triadic Games and Facilitate Collaborative Play Among Children With Autism. IEEE Trans. on Autonomous Mental Development 6(3), 183–199 (2014)CrossRefGoogle Scholar
  13. 13.
    Robins, B., Dautenhahn, K.: Tactile Interactions with a Humanoid Robot: Novel Play Scenario Implementations with Children with Autism. International Journal of Social Robotics 6(3), 397–415 (2014)CrossRefGoogle Scholar
  14. 14.
    Standen, P., Brown, D.J., Hedgecock, J., et al.: Adapting a humanoid robot for use with children with profound and multiple disabilities. In: 10th Int. Conf. Disability, Virtual Reality and Associated Technologies, pp. 205–211 (2014)Google Scholar
  15. 15.
    Dover, C.J., Couteur, A.L.: How to diagnose autism. Archives of Disease in Childhood 92(6), 540–545 (2007)CrossRefGoogle Scholar
  16. 16.
    Gilliam, J.E.: GARS-2: Gilliam Autism Rating Scale - Second Edition. Jour. of Psychoeducational Assessment 26(4) 395–401 (2006). PRO-ED, AustinGoogle Scholar
  17. 17.
    Gold, L.H.: DSM-5 and the Assessment of Functioning: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). The journal of the American Academy of Psychiatry and the Law 42(2), 173–81 (2014)Google Scholar
  18. 18.
    Nihira, K., Leland, H., Lambert, N.M., et al.: ABS-RC:2: AAMR Adaptive Behavior Scale: residential and community, 2nd edn. Pro-Ed, Austin (1993)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Jainendra Shukla
    • 1
    • 2
    Email author
  • Julián Cristiano
    • 1
  • David Amela
    • 2
  • Laia Anguera
    • 2
  • Jaume Vergés-Llahí
    • 3
  • Domènec Puig
    • 1
  1. 1.Intelligent Robotics and Computer Vision GroupUniversitat Rovira I VirgiliTarragonaSpain
  2. 2.Instituto de Robótica para la DependenciaSitgesSpain
  3. 3.Ateknea Solutions CataloniaBarcelonaSpain

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