Abstract
Clinical applications of advanced technology may hold promise for addressing impairments associated with autism spectrum disorders (ASD). This project evaluated the application of a novel physiologically responsive virtual reality based technological system for conversation skills in a group of adolescents with ASD. The system altered components of conversation based on (1) performance alone or (2) the composite effect of performance and physiological metrics of predicted engagement (e.g., gaze pattern, pupil dilation, blink rate). Participants showed improved performance and looking pattern within the physiologically sensitive system as compared to the performance based system. This suggests that physiologically informed technologies may have the potential of being an effective tool in the hands of interventionists.
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Anderson, C. J., Colombo, J., & Shaddy, D. J. (2006). Visual scanning and pupillary responses in young children with autism spectrum disorder. Journal of Clinical and Experimental Neuropsychology, 28, 1238–1256.
Argyle, M., & Cook, M. (1976). Gaze and mutual gaze. Cambridge, MA: Cambridge University Press.
Ben Shalom, D., Mostofsky, S. H., Hazlett, R. L., Goldberg, M. C., Landa, R. J., Faran, Y., et al. (2006). Normal physiological emotions but differences in expression of conscious feelings in children with high functioning autism. Journal of Autism and Developmental Disorders, 36(3), 395–400.
Blocher, K., & Picard, R. W. (2002). Affective social quest: emotion recognition therapy for autistic children. In L. Canamero, B. Edmonds, K. Dautenhahn, & A. H. Bond (Eds.), Socially intelligent agents: Creating relationships with computers and robots. Dordrecht: Kluwer.
CDC. (2014). Prevalence of autism spectrum disorders—ADDM Network. MMWR Surveill Summ, 63(2), 1–22.
Cobb, S. V. G., Nichols, S., Ramsey, A., & Wilson, J. R. (1999). Virtual reality induced symptoms and effects. Presence, 8(2), 169–186.
Colburn, A., Drucker, S., & Cohen, M. (2000). The role of eye-gaze in avatar-mediated conversational interfaces. New Orleans, LA: In SIGGRAPH Sketches and Applications.
Constantino, J. N. (2002). The social responsiveness scale. Los Angeles, CA: Western Psych. Services.
Dawson, G. (2008). Early behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder. Development and Psychopathology, 20(3), 775–803.
Dunn, L. M., & Dunn, L. M. (1997). PPVT-III: Peabody picture vocabulary test (3rd ed.). Circle Pines, MN: American Guidance Service.
Ernsperger L (2003) Keys to success for teaching students with autism, Future Horizons.
Ganz, M. L. (2007). The lifetime distribution of the incremental societal costs of autism. Archives of Pediatrics and Adolescent Medicine, 161(4), 343–349.
Goodwin, M. S. (2008). Enhancing and accelerating the pace of autism research and treatment: The promise of developing Innovative Technology. Focus on Autism and Other Developmental Disabilities, 23, 125–128.
Jansen, L. M. C., Gispen-de Wied, C. C., Wiegant, V. M., Westenberg, H. G. M., Lahuis, B., & van Engeland, H. (2006). Autonimic and neuroendocrine responses to a psychosocial stressor in adults with Autistic Spectrum Disorder. Journal of Autism and Developmental Disorders, 36, 891–899.
Jensen, B., Keehn, B., Brenner, L., Marshall, S. P., Lincoln, A. J., & Müller, R. A. (2009) Increased eye-blink rate in autism spectrum disorder may reflect dopaminergic abnormalities. In International Society for Autism Research, Poster Presentation.
Jones, W., Carr, K., & Klin, A. (2008). Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-old toddlers with autism spectrum disorder. Archives of General Psychiatry, 65(8), 946–954.
Kerr, S., & Durkin, K. (2004). Understanding of thought bubbles as mental representations in children with autism: Implications for theory of mind. Journal of Autism and Developmental Disorders, 34(6), 637–648.
Kozima, H., Nakagawa, C., & Yasuda, Y. (2005). Children-robot interaction: A pilot study in autism therapy. Progress in Brain Research, 164, 385–400.
Kylliäinen, A., Braeutigam, S., Hietanen, J. K., Swithenby, S. J., & Bailey, A. J. (2006). Face- and gaze-sensitive neural responses in children with autism: A magnetoencephalographic study. European Journal of Neuroscience, 24(9), 2679–2690.
Kylliäinen, A., & Hietanen, J. K. (2006). Skin conductance responses to another person’s gaze in children with autism. Journal of Autism and Developmental Disorders, 36(4), 517–525.
Lahiri U. (2011a) Virtual-reality based gaze-sensitive adaptive response technology for children with autism spectrum disorder. Dissertation.
Lahiri, U., Warren, Z., & Sarkar, N. (2011). Design of a gaze-sensitive virtual social interactive system for children with autism. Transactions on Neural Systems and Rehabilitation Engineering, 19(4), 443–452.
Lord, C., Risi, S., Lambrecht, L., Cook, E. H, Jr, Leventhal, B. L., DiLavore, P. C., 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.
McClintock, J. M., & Fraser, J. (2011) Diagnostic instruments for autism spectrum disorder. Ministries of Health and Education, 1–30.
Palomba, D., Sarlo, M., Angrilli, A., Mini, A., & Stegagno, L. (2000). Cardiac responses associated with affective processing of unpleasant film stimuli. International Journal of Psychophysiology, 36, 45–57.
Park, K. M., Ku, J., Choi, S. H., Jang, H. J., Park, J. Y., Kim, S. I., et al. (2011). A virtual reality application in role-plays of social skills training for schizophrenia: A randomized, controlled trial. Psychiatry Research, 189(2), 166–172.
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(Pt 5), 430–443.
Parsons, S., Mitchell, P., & Leonard, A. (2004). The use and understanding of virtual environments by adolescents with autistic spectrum disorders. Journal of Autism and Developmental Disorders, 34(4), 449–466.
Peacock, G., Amendah, D., Ouyang, L., & Grosse, S. D. (2012). Autism spectrum disorders andhealth care expenditures: The effects of co-occurring conditions. Journal of Developmental and Behavioral Pediatrics, 33(1), 2–8.
Picard, R. W. (2009). Future affective technology for autism and emotion communication. Philosophical Transactions of the Royal Society B., 364(1535), 3575–3584.
Roberts MJ (2001) Choosing a conversation system. http://www.tads.org/howto/convbkg.htm.
Rus-Calafell, M., Gutiérrez-Maldonado, J., & Ribas-Sabaté, J. (2014). A virtual reality-integrated program for improving social skills in patients with schizophrenia: a pilot study. Journal of Behavior Therapy and Experimental Psychiatry, 45(1), 81–89.
Rutherford, M. D., & Towns, M. T. (2008). Scan path differences and similarities during emotion perception in those with and without autism spectrum disorders. Journal of Autism and Developmental Disorders, 38, 1371–1381.
Rutter, M., Bailey, A., Berument, S., Lord, C., & Pickles, A. (2003a). Social Communication Questionnaire. Los Angeles, CA: Western Psychological Services.
Rutter, M., Le Couteur, A., & Lord, C. (2003b). Autism diagnostic interview revised WPS edition manual. Los Angeles, CA: Western Psychological Services.
Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., et al. (2013). Toward a second-person neuroscience. Behavioral and Brain Sciences, 36, 393–462.
Sherman, W. R., & Craig, A. B. (2003) Understanding virtual reality: Interface, application, and design. Boston: Morgan Kaufmann Publishers.
Strickland, D. (1997) Virtual reality for the treatment of autism. In G. Riva, (Ed.), Virtual reality in neuropsycho-physiology (pp. 81–86). Amsterdam: IOS Press.
Trepagnier, C., Sebrechts, M. M., & Peterson, R. (2002). Atypical face gaze in autism. Cyberpsychology and Behavior, 5(3), 213–217.
Welch, K., Lahiri, U., Sarkar, N., & Warren, Z. (2010). An approach to the design of socially acceptable robots for children with autism spectrum disorders. International Journal of Social Robotics, 2(4), 391–403.
Wilms, M., Schilbach, L., Pfeiffer, U., Bente, G., Fink, G. R., & Vogeley, K. (2010). It’s in your eyes using gaze-contingent stimuli to create truly interactive paradigms for social cognitive and affective neuroscience. Social Cognitive and Affective Neuroscience., 5(1), 98–107.
Acknowledgments
The authors would like to thank the participants and their families for making this study possible. We also gratefully acknowledge National Science Foundation Grant (Grant Number 0967170) and National Institute of Health Grant (Grant Number R01 MH091102) that partially supported the research presented here.
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Lahiri, U., Bekele, E., Dohrmann, E. et al. A Physiologically Informed Virtual Reality Based Social Communication System for Individuals with Autism. J Autism Dev Disord 45, 919–931 (2015). https://doi.org/10.1007/s10803-014-2240-5
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DOI: https://doi.org/10.1007/s10803-014-2240-5