Abstract
Autism is a neurodevelopmental disorder characterized by deficits in social communication and repetitive patterns of behavior. Individuals affected by Autism Spectrum Disorder (ASD) may face overwhelming sensory hypersensitivities that hamper their everyday life. In order to promote awareness about neurodiversity among the neurotypical population, we have developed an interactive virtual reality simulation to experience the oversensory stimulation that an individual with autism spectrum disorder may experience in a natural environment. In this experience, we project the user in a first-person perspective in a classroom where a teacher is presenting a lecture. As the user explores the classroom and attends the lecture, he/she is confronted with sensory distortions which are commonly experienced by persons with ASD. We provide the users with a virtual reality headset with motion tracking, two wireless controllers for interaction, and a wristband for physiological data acquisition to create a closed feedback loop. This wearable device measures blood volume pulse (BVP) and electrodermal activity (EDA), which we use to perform online estimations of the arousal levels of users as they respond to the virtual stimuli. We use this information to modulate the intensity of auditory and visual stimuli simulating a vicious cycle in which increased arousal translates into increased oversensory stimulation. Here, we present the architecture and technical implementation of this system.
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References
Acharya UR, Joseph KP, Kannathal N, Lim CM, Suri JS (2006) Heart Rate Var: A Rev. https://doi.org/10.1007/s11517-006-0119-0
Agrafioti F, Hatzinakos D, Anderson AK (2012) ECG pattern analysis for emotion detection. IEEE Trans Affect Comput 3(1):102–115. https://doi.org/10.1109/T-AFFC.2011.28
Allen J (2007) Photoplethysmography Appl Clin Physiol Measur. https://doi.org/10.1088/0967-3334/28/3/R01
Association AP et al (2013) Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub
Betella A, Cetnarski R, Zucca R, Arsiwalla XD, Martinez E, Omedas P, Mura A, Verschure PFMJ (2014) BrainX 3: embodied exploration of neural data. In: Proceedings of the 2014 virtual reality international conference. ACM, p 37
Betella A, Pacheco D, Zucca R, Arsiwalla XD, Omedas P, Lanatà A, Mazzei D, Tognetti A, Greco A, Carbonaro N, Wagner J, Lingenfelser F, André E, Rossi DD, Verschure PF (2014) Interpreting psychophysiological states using unobtrusive wearable sensors in virtual reality. In: ACHI 2014, the seventh international conference on advances in computer-human interactions pp 331–336
Chambon V, Farrer C, Pacherie E, Jacquet PO, Leboyer M, Zalla T (2017) Reduced sensitivity to social priors during action prediction in adults with autism spectrum disorders. Cognition 160:17–26. https://doi.org/10.1016/j.cognition.2016.12.005
Critchley HD (2002) Review: electrodermal responses: what happens in the brain. The Neurosci 8(2):132–142. https://doi.org/10.1177/107385840200800209
Goldman S, Wang C, Salgado MW, Greene PE, Kim M, Rapin I (2009) Motor stereotypies in children with autism and other developmental disorders. Dev Med Child Neurol 51(1):30–38
Gomes E, Pedroso FS, Wagner MB (2008) Hipersensibilidade auditiva no transtorno do espectro autístico. Pró-Fono Revista de Atualização Científica 20(4):279–284. https://doi.org/10.1590/s0104-56872008000400013
Henelius A, Torniainen J (2018) MIDAS: open-source framework for distributed online analysis of data streams. SoftwareX 7:156–161. https://doi.org/10.1016/j.softx.2018.04.004
Mitchell P, Ropar D (2004) Visuo-Spat Abil Autism: A Rev. https://doi.org/10.1002/icd.348
Szwoch W (2015) Emotion recognition using physiological signals. In: Proceedings of the mulitimedia, interaction, design and innnovation—MIDI ’15, pp 1–8. https://doi.org/10.1145/2814464.2814479
Acknowledgements
This research received funding from H2020-EU, ID: 787061 and ERC (PoC) H2020-EU, ID: 840052.
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López-Carral, H. et al. (2022). A Virtual Reality System for the Simulation of Neurodiversity. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-2380-6_46
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