Swipe om te navigeren naar een ander artikel
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.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
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. CrossRefPubMed
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. CrossRef
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.
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. CrossRef
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. CrossRefPubMed
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.
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. CrossRef
Lahiri U. (2011a) Virtual-reality based gaze-sensitive adaptive response technology for children with autism spectrum disorder. Dissertation.
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. CrossRefPubMed
McClintock, J. M., & Fraser, J. (2011) Diagnostic instruments for autism spectrum disorder. Ministries of Health and Education, 1–30.
Picard, R. W. (2009). Future affective technology for autism and emotion communication. Philosophical Transactions of the Royal Society B., 364(1535), 3575–3584. CrossRef
Roberts MJ (2001) Choosing a conversation system. http://www.tads.org/howto/convbkg.htm.
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.
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. CrossRef
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. CrossRefPubMedCentralPubMed
- A Physiologically Informed Virtual Reality Based Social Communication System for Individuals with Autism
- Springer US