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Bridging the research gap: making HRI useful to individuals with autism

Published:28 July 2012Publication History
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Abstract

While there is a rich history of studies involving robots and individuals with autism spectrum disorders (ASD), few of these studies have made substantial impact in the clinical research community. In this paper we first examine how differences in approach, study design, evaluation, and publication practices have hindered uptake of these research results. Based on ten years of collaboration, we suggest a set of design principles that satisfy the needs (both academic and cultural) of both the robotics and clinical autism research communities. Using these principles, we present a study that demonstrates a quantitatively measured improvement in human-human social interaction for children with ASD, effected by interaction with a robot.

References

  1. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders: DSM-IV-TR. Arlington, VA: Author.Google ScholarGoogle Scholar
  2. Andrews, S., Warner, J., & Stewart, R. (1986). EMG biofeedback and relaxation in the treatment of hyperfunctional dysphonia. International Journal of Language & Communication Disorders, 21(3), 353--369.Google ScholarGoogle ScholarCross RefCross Ref
  3. Autism and Developmental Disabilities Monitoring Network (ADDM), Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. (2009). Prevalence of the autism spectrum disorders (ASDs) in multiple areas of the United States, 2004 and 2006. Retrieved from http://www.cdc.gov/ncbddd/autism/addm.htmlGoogle ScholarGoogle Scholar
  4. Bosseler, A., & Massaro, D. W. (2003). Development and evaluation of a computer-animated tutor for vocabulary and language learning in children with autism. Journal of Autism and Developmental Disorders, 33(6), 653--672.Google ScholarGoogle ScholarCross RefCross Ref
  5. Diehl, J. J., Schmitt, L. M., Villano, M., & Crowell, C. R. (2012). The clinical use of robots for individuals with autism spectrum disorders: A critical review. Research in Autism Spectrum Disorders, 6(1), 249--262.Google ScholarGoogle ScholarCross RefCross Ref
  6. Elliott, C. D. (2007). Differential Ability Scales-II (DAS-II). San Antonio, TX: Pearson. Retrieved from http://www.pearsonassessments.com/HAIWEB/Cultures/en-us/Productdetail.htm?Pid=015-8338-820Google ScholarGoogle Scholar
  7. Feil-Seifer, D., & Matarić, M. J. (2011). Automated detection and classification of positive vs. negative robot interactions with children with autism using distance-based features. Proceedings of the 6th International Conference on Human-Robot Interaction, HRI '11 (pp. 323--330). Lausanne, Switzerland: ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Gentil, M., Aucouturier, J.-L., Delong, V., & Sambuis, E. (1994). EMG biofeedback in the treatment of dysarthria. Folia Phoniatrica et Logopaedica, 46(4), 188--192.Google ScholarGoogle ScholarCross RefCross Ref
  9. Hagedorn, J., Hailpern, J., & Karahalios, K. G. (2008). VCode and VData: Illustrating a new framework for supporting the video annotation workflow. Proceedings of the Working Conference on Advanced Visual Interfaces, AVI '08 (pp. 317--321). Napoli, Italy: ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Happé, F., Ronald, A., & Plomin, R. (2006). Time to give up on a single explanation for autism. Nature Neuroscience, 9(10), 1218--1220.Google ScholarGoogle ScholarCross RefCross Ref
  11. Hetzroni, O., & Tannous, J. (2004). Effects of a Computer-Based Intervention Program on the Communicative Functions of Children with Autism. Journal of Autism and Developmental Disorders, 34(2), 95--113.Google ScholarGoogle ScholarCross RefCross Ref
  12. Interagency Autism Coordinating Committee. (2011). 2011 IACC strategic plan for autism spectrum disorder research.Google ScholarGoogle Scholar
  13. Joseph, R. M., & Tager-Flusberg, H. (1997). An investigation of attention and affect in children with autism and Down Syndrome. Journal of Autism and Developmental Disorders, 27(4), 385--396.Google ScholarGoogle ScholarCross RefCross Ref
  14. Karmiloff-Smith, A. (2006). Atypical epigenesis. Developmental Science, 10(1), 84--88.Google ScholarGoogle ScholarCross RefCross Ref
  15. Kasari, C., Sigman, M., Mundy, P., & Yirmiya, N. (1990). Affective sharing in the context of joint attention interactions of normal, autistic, and mentally retarded children. Journal of Autism and Developmental Disorders, 20(1), 87--100.Google ScholarGoogle ScholarCross RefCross Ref
  16. Kazdin, A. E. (2011). Single-case research designs: Methods for clinical and applied settings (2nd ed.). New York, NY: Oxford University Press.Google ScholarGoogle Scholar
  17. Kim, E. S., Leyzberg, D., Tsui, K. M., & Scassellati, B. (2009). How people talk when teaching a robot. Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, HRI '09 (pp. 23--30). New York, NY, USA: ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., et al. (2000). The Autism Diagnostic Observation Schedule---Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism. Journal of Autism and Developmental Disorders, 30(3), 205--223.Google ScholarGoogle ScholarCross RefCross Ref
  19. Lord, C., Rutter, M., & Couteur, A. (1994). Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24(5), 659--685.Google ScholarGoogle ScholarCross RefCross Ref
  20. Martin, F., & Farnum, J. (2002). Animal-assisted therapy for children with pervasive developmental disorders. Western Journal of Nursing Research, 24(6), 657--670.Google ScholarGoogle ScholarCross RefCross Ref
  21. Mullen, E. M. (1995). Mullen Scales of Early Learning (AGS.). San Antonio, TX: Pearson.Google ScholarGoogle Scholar
  22. Parsons, S., & Mitchell, P. (2002). The potential of virtual reality in social skills training for people with autistic spectrum disorders. Journal of Intellectual Disability Research, 46(5), 430--443.Google ScholarGoogle ScholarCross RefCross Ref
  23. Patterson, D., Snyder, L., & Ullman, J. (1999). Best practices memo: Evaluating computer scientists and engineers for promotion and tenure. Computing Research News.Google ScholarGoogle Scholar
  24. Paul, R. (2005). Assessing communication in autism spectrum disorders. In F. R. Volkmar, R. Paul, A. Klin, & D. J. Cohen (Eds.), Handbook of autism and pervasive developmental disorders (3rd ed., Vol. 2, pp. 799--816). Hoboken, NJ: John Wiley and Sons.Google ScholarGoogle Scholar
  25. Paul, R., Augustyn, A., Klin, A., & Volkmar, F. R. (2005). Perception and production of prosody by speakers with autism spectrum disorders. Journal of Autism and Developmental Disorders, 35(2), 205--220.Google ScholarGoogle ScholarCross RefCross Ref
  26. Prelock, P. A., Paul, R., & Allen, E. M. (2011). Evidence-based treatments in communication for children with autism spectrum disorders. In B. Reichow, P. Doehring, D. V. Cicchetti, & F. R. Volkmar (Eds.), Evidence-based practices and treatments for children with autism (pp. 93--169). New York, NY: Springer US. Retrieved from http://www.springerlink.com/content/g520308543808731/abstract/Google ScholarGoogle Scholar
  27. Redefer, L., & Goodman, J. (1989). Brief report: Pet-facilitated therapy with autistic children. Journal of Autism and Developmental Disorders, 19(3), 461--467.Google ScholarGoogle ScholarCross RefCross Ref
  28. Reichow, B., Volkmar, F., & Cicchetti, D. V. (2008). Development of the evaluative method for evaluating and determining evidence-based practices in autism. Journal of Autism and Developmental Disorders, 38(7), 1311--1319.Google ScholarGoogle ScholarCross RefCross Ref
  29. Reichow, B., & Volkmar, F. R. (2011). Evidence-based practices in autism: Where we started. In B. Reichow, P. Doehring, D. V. Cicchetti, & F. R. Volkmar (Eds.), Evidence-based practices and treatments for children with autism (pp. 3--24). New York, NY: Springer US. Retrieved from http://www.springerlink.com/content/w34707658g6461g5/abstract/Google ScholarGoogle Scholar
  30. Ricks, D. J., & Colton, M. B. (2010). Trends and considerations in robot-assisted autism therapy. 2010 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4354--4359). Anchorage, AK: IEEE.Google ScholarGoogle ScholarCross RefCross Ref
  31. Riek, L. D. (2012). Wizard of Oz Studies in HRI: A Systematic Review and New Reporting Guidelines. Journal of Human-Robot Interaction, 1(1), 119--136. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Rutter, M., Bailey, A., & Lord, C. (2003). Social Communication Questionnaire: SCQ (W-381). Los Angeles, CA: Western Psychological Services. Retrieved from http://portal.wpspublish.com/portal/page?_pageid=53,70432&_dad=portal&_schema=PORTALGoogle ScholarGoogle Scholar
  33. Scassellati, B. (2005). Quantitative metrics of social response for autism diagnosis. IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2005 (pp. 585 -- 590).Google ScholarGoogle ScholarCross RefCross Ref
  34. Scassellati, B., Admoni, H., & Matarić, M. J. (2012). Robots for use in autism research. Annual Review of Biomedical Engineering, 14.Google ScholarGoogle Scholar
  35. Schopler, E., Reichler, R. J., & Renner, B. R. (1986). The Childhood Autism Rating Scale (CARS): For diagnostic screening and classification of autism. New York, NY: Irvington.Google ScholarGoogle Scholar
  36. Silver, M., & Oakes, P. (2001). 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 --316.Google ScholarGoogle ScholarCross RefCross Ref
  37. Steinfeld, A., Jenkins, O. C., & Scassellati, B. (2009). The oz of wizard: simulating the human for interaction research. Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, HRI '09 (pp. 101--108). San Diego, CA: ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Strickland, D. (1997). Virtual reality for the treatment of autism. In G. Riva (Ed.), Virtual reality in neuro-psycho-physiology: cognitive, clinical and methodological issues in assessment and rehabilitation (pp. 81--86). Amsterdam, Netherlands: IOS Press.Google ScholarGoogle Scholar
  39. Tapus, A., Matarić, M. J., & Scassellati, B. (2007). Socially assistive robotics {Grand challenges of robotics}. Robotics Automation Magazine, IEEE, 14(1), 35 --42.Google ScholarGoogle Scholar
  40. Volkmar, F. R., & Klin, A. (2005). Issues in the classification of autism and related conditions. In F. R. Volkmar, R. Paul, A. Klin, & D. J. Cohen (Eds.), Handbook of autism and pervasive developmental disorders (3rd ed., Vols. 1--2, Vol. 1, pp. 335--364). Hoboken, NJ: John Wiley and Sons.Google ScholarGoogle Scholar
  41. Volkmar, F. R., Lord, C., Bailey, A., Schultz, R. T., & Klin, A. (2004). Autism and pervasive developmental disorders. Journal of Child Psychology and Psychiatry, 45(1), 135--170.Google ScholarGoogle ScholarCross RefCross Ref
  42. Walker, D. R., Thompson, A., Zwaigenbaum, L., Goldberg, J., Bryson, S. E., Mahoney, W. J., Strawbridge, C., et al. (2004). Specifying PDD-NOS: A Comparison of PDD-NOS, Asperger Syndrome, and Autism. Journal of the American Academy of Child & Adolescent Psychiatry, 43(2), 172--180.Google ScholarGoogle ScholarCross RefCross Ref
  43. Wechsler, D. (1999). Wechsler Abbreviated Scale of Intelligence (WASI). San Antonio, TX: Pearson Assessment. Retrieved from http://www.pearsonassessments.com/HAIWEB/Cultures/en-us/Productdetail.htm?Pid=015-8981-502Google ScholarGoogle Scholar
  44. Wechsler, D. (2003). Wechsler Intelligence Scale for Children (WISC-IV) (4th ed.). San Antonio, TX: Pearson Assessment. Retrieved from http://www.pearsonassessments.com/HAIWEB/Cultures/en-us/Productdetail.htm?Pid=015-8979-044Google ScholarGoogle Scholar
  45. Wiederholt, J. L., & Bryant, B. R. (2001). Gray Oral Reading Test (GORT-4) (4th ed.). San Antonio, TX: Pearson Assessment. Retrieved from http://psychcorp.pearsonassessments.com/HAIWEB/Cultures/en-us/Productdetail.htm?Pid=015-8116-577&Mode=summaryGoogle ScholarGoogle Scholar
  46. Yirmiya, N., Kasari, C., Sigman, M., & Mundy, P. (1989). Facial expressions of affect in autistic, mentally retarded and normal children. Journal of Child Psychology and Psychiatry, 30(5), 725--735.Google ScholarGoogle ScholarCross RefCross Ref

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