A Comparison of Robot Interaction with Tactile Gaming Console Stimulation in Clinical Applications

  • Jainendra ShuklaEmail author
  • Julián Cristiano
  • Laia Anguera
  • Jaume Vergés-Llahí
  • Domènec Puig
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 418)


Technological advancements in recent years have encouraged lots of research focus on robot interaction among individuals with intellectual disability, especially among kids with Autism Spectrum Disorders (ASD). However, promising advancements shown by these investigations, about use of interactive robots for rehabilitation of such individuals can be questioned on various aspects, e.g. is effectiveness of interaction therapy because of the robot itself or due to the sensory stimulations? Only few studies have shown any significant comparison in remedial therapy using interactive robots with non-robotic visual stimulations. In proposed research, authors have tried to explore this idea by comparing response of robotic interactions with stimulations caused by a tactile gaming console, among individuals with profound and multiple learning disability (PMLD). The results show that robot interactions are more effective but stimulations caused by tactile gaming consoles can significantly serve as complementary tool for therapeutic benefit of patients.


Robot interaction Profound and multiple disability PMLD Tactile gaming console Non-robotic stimulation ARMONI 


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  1. 1.
    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
  2. 2.
    World Health Organization (2001). The World Health Report 2001 - Mental Health: New Understanding, New Hope. Geneva (2001)Google Scholar
  3. 3.
    Olness, K.: Effects on Brain Development Leading to Cognitive Impairment: A Worldwide Epidemic. Journal of Developmental & Behavioral Pediatrics 24(2), 120–130 (2003)CrossRefGoogle Scholar
  4. 4.
    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
  5. 5.
    Davis, M., Robins, B., Dautenhahn., et al.: A Comparison of Interactive and Robotic Systems in Therapy and Education for Children with Autism (2013)Google Scholar
  6. 6.
    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, pp. 1–7 (2014). ISSN 0162–3257Google Scholar
  7. 7.
    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
  8. 8.
    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
  9. 9.
    Miesenberger, K., Klaus, J., Zagler, W., et al.: User interface evaluation of serious games for students with intellectual disability. In: Lecture Notes in Computer Science, vol. 6179, pp. 227–234 (2010)Google Scholar
  10. 10.
    Lopez, A., Méndez, A., García, B., et al.: Serious games to promote independent living for intellectually disabled people: starting with shopping. In: Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games, CGAMES, pp. 1–4 (2014)Google Scholar
  11. 11.
    Rodríguez, A., Lopez, A., Méndez, A., et al.: Helping children with intellectual disability to understand healthy eating habits with an ipad based serious game. In: 2013 18th International Conference on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational and Serious Games (CGAMES), pp. 169–173 (2013)Google Scholar
  12. 12.
    Salazar, C.P., Maldonado, J.G., García, M.M.F., et al.: Cognitive mechanisms underlying ARMONI: A computer-assisted cognitive training program for individuals with intellectual disabilities. Anales de Psicología (2015, to appear)Google Scholar
  13. 13.
    Schelhowe, H., Zare, S.: Intelligent mobile interaction: a learning system for mentally disabled people (IMLIS). In: Universal Access in Human-Computer Interaction. Addressing Diversity. Lecture Notes in Computer Science, vol. 5614, pp. 412–421 (2009)Google Scholar
  14. 14.
    Standen, P., Brown, D., Roscoe, J., et al.: Engaging students with profound and multiple disabilities using humanoid robots. In: Stephanidis, C., Antona, M. (eds.) Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge. LNCS, vol. 8514, pp. 419–430. Springer (2014)Google Scholar
  15. 15.
    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
  16. 16.
    Shukla, J., Cristiano, J., Amela, D., et al.: A case study of robot interaction among individuals with profound and multiple learning disabilities. In: Tapus, A., Vincze, M., Martin, J.-C., André, E. (eds.) ICSR 2015. LNAI, vol. 9388, pp. 1–10. Springer, Heidelberg (2015) Google Scholar
  17. 17.
    Gilliam, J.E.: GARS-2: Gilliam Autism Rating Scale. Jour. of Psychoeducational Assessment 26(4), 395–401 (2006). Second Edition. PRO-ED, AustinGoogle Scholar
  18. 18.
    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), 173–181 (2014)Google Scholar
  19. 19.
    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 2016

Authors and Affiliations

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

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