Abstract
Recent advances in computer and robotic technology are enabling the application of such technology in assisting traditional intervention in developmental disorders such as autism spectrum disorders (ASD). A number of research studies indicate that many children with ASD prefer technology and this preference can be explored to develop systems that may alleviate several challenges of traditional treatment and intervention. The current work proposes to develop an adaptive virtual reality-based social interaction platform for children with ASD. It is hypothesized that endowing a technological system that can detect the feeling and state of the child and adapt its interaction accordingly is of great importance in assisting and individualization of traditional intervention approaches. The proposed system employs sensors such as eye trackers and physiological signal monitors and models the context relevant psychological state of the user from combination of these sensors together with the performance of the participant.
Chapter PDF
Similar content being viewed by others
Keywords
References
Lord, C., Volkmar, F., Lombroso, P.J.: Genetics of childhood disorders: XLII. Autism, part 1: Diagnosis and assessment in autistic spectrum disorders. Journal of the American Academy of Child and Adolescent Psychiatry 41(9), 1134 (2002)
Diagnostic and Statistical Manual of Mental Disorders: Quick reference to the diagnostic criteria from DSM-IV-TR. American Psychiatric Association, Amer. Psychiatric Pub. Incorporated, Washington, DC (2000)
McEvoy, R.E., Rogers, S.J., Pennington, B.F.: Executive function and social communication deficits in young autistic children. Journal of Child Psychology and Psychiatry 34(4), 563–578 (2006)
Demopoulos, C., Hopkins, J., Davis, A.: A Comparison of Social Cognitive Profiles in children with Autism Spectrum Disorders and Attention-Deficit/Hyperactivity Disorder: A Matter of Quantitative but not Qualitative Difference? Journal of Autism and Developmental Disorders, 1–14 (2012)
Ploog, B.O., Scharf, A., Nelson, D., Brooks, P.J.: Use of Computer-Assisted Technologies (CAT) to Enhance Social, Communicative, and Language Development in Children with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 1–22 (2012)
Gal, E., Bauminger, N., Goren-Bar, D., Pianesi, F., Stock, O., Zancanaro, M., Weiss, P.L.: Enhancing social communication of children with high-functioning autism through a co-located interface. AI & Society 24(1), 75–84 (2009)
Ganz, M.L.: The lifetime distribution of the incremental societal costs of autism. Archives of Pediatrics and Adolescent Medicine, Am. Med. Assoc. 161(4), 343–349 (2007)
Bernard-Opitz, V., Sriram, N., Nakhoda-Sapuan, S.: Enhancing social problem solving in children with autism and normal children through computer-assisted instruction. Journal of Autism and Developmental Disorders 31(4), 377–384 (2001)
Parsons, S., Mitchell, P., Leonard, A.: The use and understanding of virtual environments by adolescents with autistic spectrum disorders. Journal of Autism and Developmental Disorders 34(4), 449–466 (2004)
Welch, K.C., Lahiri, U., Liu, C., Weller, R., Sarkar, N., Warren, Z.: An affect-sensitive social interaction paradigm utilizing virtual reality environments for autism intervention. In: Jacko, J.A. (ed.) Human-Computer Interaction, Part III, HCII 2009. LNCS, vol. 5612, pp. 703–712. Springer, Heidelberg (2009)
Parsons, S., Mitchell, P.: The potential of virtual reality in social skills training for people with autistic spectrum disorders. Journal of Intellectual Disability Research 46(5), 430–443 (2002)
Parsons, T.D., Rizzo, A.A., Rogers, S., York, P.: Virtual reality in paediatric rehabilitation: A review. Developmental Neurorehabilitation 12(4), 224–238 (2009)
Kandalaft, M.R., Didehbani, N., Krawczyk, D.C., Allen, T.T., Chapman, S.B.: Virtual Reality Social Cognition Training for Young Adults with High-Functioning Autism. Journal of Autism and Developmental Disorders, 1–11 (2012)
Lahiri, U., Warren, Z., Sarkar, N.: Design of a Gaze-Sensitive Virtual Social Interactive System for Children With Autism. IEEE Transactions on Neural Systems and Rehabilitation Engineering (99), 1 (2012)
Kenny, P., Parsons, T.D., Gratch, J., Leuski, A., Rizzo, A.A.: Virtual patients for clinical therapist skills training. In: Pelachaud, C., Martin, J.-C., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds.) IVA 2007. LNCS (LNAI), vol. 4722, pp. 197–210. Springer, Heidelberg (2007)
Leuski, A., Patel, R., Traum, D., Kennedy, B.: Building effective question answering characters. In: Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue, pp. 18–27. Association for Computational Linguistics (2009)
Vinciarelli, A., Pantic, M., Bourlard, H.: Social signal processing: Survey of an emerging domain. Image and Vision Computing 27(12), 1743–1759 (2009)
Liu, C., Conn, K., Sarkar, N., Stone, W.: Online affect detection and robot behavior adaptation for intervention of children with autism. IEEE Transactions on Robotics 24(4), 883–896 (2008)
Picard, R.W.: Future affective technology for autism and emotion communication. Philosophical Transactions of the Royal Society B: Biological Sciences 364(1535), 3575–3584 (2009)
Groden, J., Goodwin, M.S., Baron, M.G., Groden, G., Velicer, W.F., Lipsitt, L.P., Hofmann, S.G., Plummer, B.: Assessing cardiovascular responses to stressors in individuals with autism spectrum disorders. Focus on Autism and Other Developmental Disabilities 20(4), 244–252 (2005)
Cacioppo, J.T., Tassinary, L.G., Berntson, G.G.: Handbook of psychophysiology. Cambridge Univ. Pr. (2007)
Anderson, C.J., Colombo, J., Shaddy, D.J.: Visual scanning and pupillary responses in young children with autism spectrum disorder. Journal of Clinical and Experimental Neuropsychology 28(7), 1238–1256 (2006)
Hsiao, J.H., Cottrell, G.: Two fixations suffice in face recognition. Psychological Science 19(10), 998–1006 (2008)
Libby Jr, W.L., Lacey, B.C., Lacey, J.I.: Pupillary and cardiac activity during visual attention. Psychophysiology 10(3), 270–294 (1973)
Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. Paper Presented at the Proceedings of the 2000 Symposium on Eye Tracking Research & Applications (2000)
Nasoz, F., Lisetti, C.L.: Affective user modeling for adaptive intelligent user interfaces. In: Jacko, J.A. (ed.) Human-Computer Interaction, Part III, HCII 2007. LNCS, vol. 4552, pp. 421–430. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bekele, E. et al. (2013). A Step towards Adaptive Multimodal Virtual Social Interaction Platform for Children with Autism. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. User and Context Diversity. UAHCI 2013. Lecture Notes in Computer Science, vol 8010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39191-0_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-39191-0_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39190-3
Online ISBN: 978-3-642-39191-0
eBook Packages: Computer ScienceComputer Science (R0)