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The Differences Between Children with Autism and Typically Developed Children in Using a Hand-Eye-Coordination Video Game

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Ubiquitous Computing and Ambient Intelligence (UCAmI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10586))

Abstract

Several evidences showed poor motor coordination in individuals with autism. Thus, in this paper, we present a touch-based hand-eye coordination video game which shows clear difference between children with autism and typically developed children. The game is tested on five children with autism and seven typically developed children. These groups presented totally different patterns from each other; hence they can be distinguished with only two features in the game environment. This promising result encourages us to use this video game for initial screening of hand-eye coordination problem, especially in children with autism, which can be used everywhere without any costs.

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Notes

  1. 1.

    http://www.gamemaker.nl/.

References

  1. Bell, C.C.: DSM-IV: diagnostic and statistical manual of mental disorders (1994)

    Google Scholar 

  2. Report, M.W.: Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWR. Surveill. Summ. 63, 1–21 (2014)

    Google Scholar 

  3. Robins, D.L., Fein, D., Barton, M.L., Green, J.A.: The modified checklist for autism in toddlers: an initial study investigating the early detection of autism and pervasive developmental disorders. J. Autism Dev. Disord. 31, 131–144 (2001)

    Article  Google Scholar 

  4. Piek, J.P., Dick, M.J.: Sensory-motor deficits in children with developmental coordination disorder, attention deficit hyperactivity disorder and autistic disorder. Hum. Mov. Sci. 23, 475–488 (2004)

    Article  Google Scholar 

  5. Fournier, K.A., Hass, C.J., Naik, S.K., Lodha, N., Cauraugh, J.H.: Motor coordination in autism spectrum disorders: a synthesis and meta-analysis. J. Autism Dev. Disord. 40, 1227–1240 (2010)

    Article  Google Scholar 

  6. A screening instrument for autism at 18 months of age: A 6-year follow-up study

    Google Scholar 

  7. Pickles, A.: Autism screening questionnaire: diagnostic validity (1999)

    Google Scholar 

  8. Ehlers, S., Gillberg, C., Wing, L.: A screening questionnaire for asperger syndrome and other high-functioning autism spectrum disorders in school age children (2015)

    Google Scholar 

  9. Constantino, J.N., Davis, S.A., Todd, R.D., Schindler, M.K., Gross, M.M., Brophy, S.L., Metzger, L.M., Shoushtari, C.S., Splinter, R., Reich, W.: Validation of a brief quantitative measure of autistic traits: comparison of the social responsiveness scale with the autism diagnostic interview-revised. J. Autism Dev. Disord. 33, 427–433 (2003)

    Article  Google Scholar 

  10. Scassellati, B.: Quantitative metrics of social response for autism diagnosis. Proc. - IEEE Int. Work. Robot Hum. Interact. Commun. 2005, 585–590 (2005)

    Google Scholar 

  11. Ebrahimi, M., Feghi, M., Moradi, H., Mirian, M., Pouretemad, H.: Distinguishing tip-toe walking from normal walking using skeleton data gathered by 3D sensors. In: 2015 3rd RSI International Conference on Robot. Mechatronics (ICROM), pp. 450–455 (2015)

    Google Scholar 

  12. Ekhtiari, S., Moradi, H., Pouretemad, H., Araabi, B.: Early autism screening using an intelligent toy. In: The 5th International Congress of Child and Adolescent Psychiatry (2012)

    Google Scholar 

  13. Motlagh, S.H.R.E., Moradi, H., Pouretemad, H.: Using general sound descriptors for early autism detection. In: 2013 9th Asian Control Conference on ASCC 2013 (2013)

    Google Scholar 

  14. Crippa, A., Salvatore, C., Perego, P., Forti, S., Nobile, M., Molteni, M., Castiglioni, I.: Use of machine learning to identify children with autism and their motor abnormalities. J. Autism Dev. Disord. 45, 2146–2156 (2015)

    Article  Google Scholar 

  15. Anzulewicz, A., Sobota, K., Delafield-Butt, J.T.: Toward the Autism Motor Signature: Gesture patterns during smart tablet gameplay identify children with autism. Nat. Publ. Gr. 1–13 (2016)

    Google Scholar 

  16. Overmars, M.: Teaching computer science through game design. Computer 37, 81–83 (2004)

    Article  Google Scholar 

  17. Schoemaker, M.M., Niemeijer, A.S., Flapper, B.C.T., Smits-Engelsman, B.C.M.: Validity and reliability of the movement assessment battery for children-2 checklist for children with and without motor impairments. Dev. Med. Child Neurol. 54, 368–375 (2012)

    Article  Google Scholar 

  18. Wang, H.-H., Liao, H.-F., Hsieh, C.-L.: Reliability, sensitivity to change, and responsiveness of the peabody developmental motor scales-for children with cerebral palsy. Phys. Ther. 86, 1351–1359 (2006)

    Article  Google Scholar 

  19. Preda, C.: Test of visual-motor integration: construct validity in a comparison with the Beery-Buktenica Developmental Test of Visual-Motor Integration. Percept. Mot. Skills 84, 1439–1443 (1997)

    Article  Google Scholar 

  20. Brown, T., Rodger, S., Davis, A.: Factor structure of the four motor-free scales of the developmental test of visual perception, 2nd Edition (DTVP–2). Am. J. Occup. Ther. 62, 502–513 (2008)

    Article  Google Scholar 

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Acknowledgement

This research is supported by the Cognitive Sciences and Technologies Council (COGC). We would like to thank the Center for Treatment of Autism Disorder (CTAD) for supporting this study.

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Correspondence to Hadi Moradi .

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Mahmoudi-Nejad, A., Moradi, H., Pouretemad, HR. (2017). The Differences Between Children with Autism and Typically Developed Children in Using a Hand-Eye-Coordination Video Game. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-67585-5_27

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