Abstract
Exergames are serious games that involve physical exertion and are thought of as a form of exercise by using novel input models. Exergames are promising in improving the vestibular differences of children with autism but often lack of adaptation mechanisms that adjust the difficulty level of the exergame. In this paper, we present the design and development of Circus in Motion, a multimodal exergame supporting children with autism with the practice of non-locomotor movements. We describe how the data from a 3D depth camera enables the tracking of non-locomotor movements allowing children to naturally interact with the exergame . A controlled experiment with 12 children with autism shows Circus in Motion excels traditional vestibular therapies in increasing physical activation and the number of movements repetitions. We show how data from real-time usage of Circus in Motion could be used to feed a fuzzy logic model that can adjust the difficulty level of the exergame according to each childs motor performance. We close discussing open challenges and opportunities of multimodal exergames to support motor therapeutic interventions for children with autism in the long-term.
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Notes
The unconscious process of the brain to organize information detected by ones senses and allow them to respond to the situation in a purposeful manner [3].
All the stakeholders with experience in vestibular therapies and motor skills development of children with autism including psychologist, physiotherapists, and clinicians.
Children with autism could get used to performing the exercises in the same order, so we counterbalanced this problem by randomly selecting the exercises children with autism must practice.
For simplicity of reading, we call participants to the children with autism participating in the controlled experiment.
References
Albiol-Pérez S, Gil-Gómez JA, Alcañiz M, Llorens R, Colomer C (2012) Use of the Wii balance board system in vestibular rehabilitation. In: Proceedings 13th international conference interacción persona-INTERACCION ’12. ACM Press, New York, pp 1–4. https://doi.org/10.1145/2379636.2379647
American Psychiatric Association (2013) Cautionary Statement for Forensic Use of DSM-5. In: Diagnostic statistical manual mental disorders 5th Edn. American Psychiatric Publishing, Inc , p 991. https://doi.org/10.1176/appi.books.9780890425596.744053
Ayres AJ, Robbins J (2005) Sensory integration and the child: understanding hidden sensory challenges. Western Psychological Services, Alaska
Ayres AJ, Tickle LS (1980) Hyper-responsivity to touch and vestibular stimuli as a predictor of positive response to sensory integration procedures by autistic children. Am J Occup Ther 34(6):375–381. https://doi.org/10.5014/ajot.34.6.375
Bartoli L, Garzotto F, Gelsomini M, Oliveto L, Valoriani M (2014) Designing and evaluating touchless playful interaction for ASD children. In: Proceedings 2014 conference interaction design children- IDC ’14, 1, . ACM Press, New York, pp 17–26. https://doi.org/10.1145/2593968.2593976
Bellman RE, Zadeh LA (1970) Decision-making in a fuzzy environment. Manag Sci 17(4):B-141
Bhattacharya A, Gelsomini M, Pérez-Fuster P, Abowd GD, Rozga A (2015) Designing motion-based activities to engage students with autism in classroom settings. In: Proceedings 14th international conference interaction design children- IDC ’15. ACM Press, New York, pp 69–78. https://doi.org/10.1145/2771839.2771847
Billis AS, Konstantinidis EI, Mouzakidis C, Tsolaki MN, Pappas C, Bamidis PD (2010) A game-like interface for training seniors’ dynamic balance and coordination. In: XII mediterranean conference medical and biological engineering and computing, vol 29, pp 691–694. Springer, Berlin . https://doi.org/10.1007/978-3-642-13039-7_174
Bossavit B (2019) Serious games in physical rehabilitation. J Enabling Technol 13(4):251–252. https://doi.org/10.1108/JET-12-2019-076
Caro K, Tentori M, Martinez-Garcia AI, Alvelais M (2017) Using the FroggyBobby exergame to support eye-body coordination development of children with severe autism. Int J Hum Comput Stud 105(1):12–27. https://doi.org/10.1016/j.ijhcs.2017.03.005
Cibrian FL, Peña O, Ortega D, Tentori M (2017) BendableSound: an elastic multisensory surface using touch-based interactions to assist children with severe autism during music therapy. Int J Hum Comput Stud 107(1):22–37. https://doi.org/10.1016/j.ijhcs.2017.05.003
Cohen H, Blatchly CA, Gombash LL (1993) A study of the clinical test of sensory interaction and balance. Phys Ther 73(6):346–351. https://doi.org/10.1093/ptj/73.6.346
Corbin J, Strauss AL (1998) Basics of qualitative research: techniques and procedures for developing grounded theory. Sage Publications Inc, Thousand Oaks
Corbin J, Strauss AL (2014) Basics of qualitative research: techniques and procedures for developing grounded theory. Sage Publications Inc, Thousand Oaks
Fang Q, Aiken CA, Fang C, Pan Z (2019) Effects of exergaming on physical and cognitive functions in individuals with autism spectrum disorder: a systematic review. Games Health J 8(2):74–84. https://doi.org/10.1089/g4h.2018.0032
Galna B, Barry G, Jackson D, Mhiripiri D, Olivier P, Rochester L (2014) Accuracy of the microsoft kinect sensor for measuring movement in people with parkinson’s disease. Gait Posture 39(4):1062–1068
Ganz JB, Hong ER, Goodwyn F, Kite E, Gilliland W (2015) Impact of pecs tablet computer app on receptive identification of pictures given a verbal stimulus. Dev Neurorehabilit 18(2):82–87. https://doi.org/10.3109/17518423.2013.821539
Garrido Navarro JE, R. Penichet V, Lozano M, Marset I (2013) Balance Disorder Rehabilitation through Movement Interaction. In: Proceedings ICTs improving patients rehabilitation research techniques, pp 319–322. IEEE . https://doi.org/10.4108/icst.pervasivehealth.2013.252368
Garzotto F, Gelsomini M, Oliveto L, Valoriani M (2014) Motion-based touchless interaction for ASD children. In: Proceedings 2014 international working conference advanced visual interfaces-AVI ’14. ACM Press, New York, pp 117–120. https://doi.org/10.1145/2598153.2598197
Gerling KM, Schild J, Masuch M (2010) Exergame design for elderly users. In: Proceedings 7th international conference advances computer entertainment technology- ACE ’10. ACM Press, New York, p 66. https://doi.org/10.1145/1971630.1971650
Hayes GR, Hirano S, Marcu G, Monibi M, Nguyen DH, Yeganyan M (2010) Interactive visual supports for children with autism. Pers Ubiquitous Comput 14(7):663–680
Herdman SJ, Clendaniel R (2014) Vestibular rehabilitation. FA Practica Oto-Rhino-Laryngologica, 4th edn. F. A, Davis Company, Philadelphia
Hernandez Ha, Ye Z, Graham TN, Fehlings D, Switzer L (2013) Designing action-based exergames for children with cerebral palsy. In: Proceedings SIGCHI Conference on Human Factors Computing Systems- CHI ’13. ACM Press, New York, p 1261. https://doi.org/10.1145/2470654.2466164
Hopkins IM, Gower MW, Perez TA, Smith DS, Amthor FR, Wimsatt FC, Biasini FJ (2011) Avatar assistant: improving social skills in students with an asd through a computer-based intervention. J Autism Develop Disord 41(11):1543–1555
Kern JK, Garver CR, Grannemann BD, Trivedi MH, Carmody T, Andrews AA, Mehta JA (2007) Response to vestibular sensory events in autism. Res Autism Spectr Disord 1(1):67–74. https://doi.org/10.1016/j.rasd.2006.07.006
Kloth AD, Badura A, Li A, Cherskov A, Connolly SG, Giovannucci A, Bangash MA, Grasselli G, Agarikano OP, Piochon C, Tsai PT, Geschwind DH, Hansel C, Sahin M, Takumi T, Worley PF, Wang SS (2015) Cerebellar associative sensory learning defects in five mouse autism models. Elife 4:e06085. https://doi.org/10.7554/eLife.06085
Kohen-Raz R, Volkman FR, Cohen DJ (1992) Postural control in children with autism. J Autism Dev Disord 22(3):419–432. https://doi.org/10.1007/BF01048244
Kondori FA, Yousefi S, Li H, Sonning S, Sonning S (2011) 3d head pose estimation using the kinect. In: 2011 International conference on wireless communications and signal processing (WCSP), pp 1–4. IEEE
Langhorne P, Coupar F, Pollock A (2009) Motor recovery after stroke: a systematic review. Lancet Neurol 8(8):741–754. https://doi.org/10.1016/S1474-4422(09)70150-4
Lazar J, Feng JH, Hochheiser H (2017) Research methods in human-computer interaction. Morgan Kaufmann, Burlington
Lopes R, Bidarra R (2011) Adaptivity challenges in games and simulations: a survey. IEEE Trans Comput Intell AI Games 3(2):85–99. https://doi.org/10.1109/TCIAIG.2011.2152841
Lyons EJ (2015) Cultivating engagement and enjoyment in exergames using feedback, challenge, and rewards. Games Health J 4(1):12–18. https://doi.org/10.1089/g4h.2014.0072
Mamdani EH (1974) Application of fuzzy algorithms for control of simple dynamic plant. Proc Inst Electr Eng 121(12):1585–1588
Márquez Segura E, Turmo Vidal L, Parrilla Bel L, Waern A (2019) Circus, play and technology probes. In: Proceedings of 2019 on designing interactive system conference-DIS ’19. ACM Press, New York, pp 1223–1236. https://doi.org/10.1145/3322276.3322377
Mieres AC, Kirby RS, Armstrong KH, Murphy TK, Grossman L (2012) Autism spectrum disorder. Pediatr Phys Ther 24(1):31–37. https://doi.org/10.1097/PEP.0b013e31823e06d1
Mintzberg H (1970) Structured observation as a method to study managerial work. J Manag Stud 7(1):87–104
Piana S, Staglianò A, Odone F, Camurri A (2016) Adaptive body gesture representation for automatic emotion recognition. ACM Trans Interact Intell Syst 6(1):1–31. https://doi.org/10.1145/2818740
Pirovano M, Mainetti R, Baud-Bovy G, Lanzi PL, Borghese NA (2016) Intelligent game engine for rehabilitation (IGER). IEEE Trans Comput Intell AI Games 8(1):43–55. https://doi.org/10.1109/TCIAIG.2014.2368392
Puhl J, Greaves K, Hoyt M, Baranowski T (1990) Children’s activity rating scale (CARS): description and calibration. Res Q Exerc Sport 61(1):26–36. https://doi.org/10.1080/02701367.1990.10607475
Schuller B, Marchi E, Baron-Cohen S, O’Reilly H, Pigat, D, Robinson, P, Daves I (2014)The state of play of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions. In: 2nd Int. Work. Digit. Games Empower. Incl. arXiv preprint arXiv:1403.5912
Sheehan DP, Katz L (2013) The effects of a daily, 6-week exergaming curriculum on balance in fourth grade children. J Sport Heal Sci 2(3):131–137. https://doi.org/10.1016/j.jshs.2013.02.002
Shotton J, Fitzgibbon A, Cook M, Sharp T, Finocchio M, Moore R, Kipman A, Blake A (2011) Real-time human pose recognition in parts from single depth images. In: CVPR 2011, pp 1297–1304. IEEE
Sinclair J, Hingston, P, Masek M (2007) Considerations for the design of exergames. In: Proceedings of 5th international conference computer graphics interactive techniques Australia Southeast Asia, vol 1. ACM, Perth, pp 289–296 . https://doi.org/10.1145/1321261.1321313
Tang ST, McCorkle R (2002) Use of family proxies in quality of life research for cancer patients at the end of life: a literature review. Cancer Investig 20(7–8):1086–1104
Tartaro A, Cassell J (2008) Playing with virtual peers: bootstrapping contingent discourse in children with autism. In: ICLS (2), pp 382–389. Citeseer
Tentori M, Escobedo L, Balderas G (2015) A smart environment for children with autism. IEEE Pervasive Comput 14(2):42–50. https://doi.org/10.1109/MPRV.2015.22
Tomchek SD, Dunn W (2007) Sensory processing in children with and without autism: a comparative study using the short sensory profile. Am J Occup Ther 61(2):190–200. https://doi.org/10.5014/ajot.61.2.190
Travers BG, Mason AH, Mrotek LA, Ellertson A, Dean DC, Engel C, Gomez A, Dadalko OI, McLaughlin K (2018) Biofeedback-based, videogame balance training in autism. J Autism Dev Disord 48(1):163–175. https://doi.org/10.1007/s10803-017-3310-2
Valentini NC, Rudisill ME (2004) Motivational climate, motor-skill development, and perceived competence: Two studies of developmentally delayed kindergarten children. J Teach Phys Educ 23(3):216–234
Wendell JB, Shelley W, Karen H (2004) Rapid contextual design a how-to guide to key techniques for user-centered design. Elsevier, Amsterdam. https://doi.org/10.1145/1066322.1066325
Whitney SL, Sparto PJ, Brown KE, Furman JM, Jacobson JL, Redfern MS (2002) The potential use of virtual reality in vestibular rehabilitation: preliminary findings with the BNAVE. J Neurol Phys Ther 26(2):72–78
Yannakakis GN, Hallam J (2008) Real-time adaptation of augmented-reality games for optimizing player satisfaction. In: 2008 IEEE symposium computational intelligence games, pp 103–110, IEEE. https://doi.org/10.1109/CIG.2008.5035627
Acknowledgements
We thank all the participants enrolled in this experiment and the researchers and the reviewers who provide helpful comments on previous versions of this document. We also thank CONACYT for students fellowships, the Jacobs Foundation and Gillian Hayes for her support.
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Peña, O., Cibrian, F.L. & Tentori, M. Circus in Motion: a multimodal exergame supporting vestibular therapy for children with autism. J Multimodal User Interfaces 15, 283–299 (2021). https://doi.org/10.1007/s12193-020-00345-9
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DOI: https://doi.org/10.1007/s12193-020-00345-9