Skip to main content

Employing Virtual Reality to Teach Face-Based Emotion Recognition to Individuals with Autism Spectrum Disorder

  • Living reference work entry
  • First Online:
Handbook of Mobile Teaching and Learning

Abstract

Students with autism spectrum disorders (ASD) have difficulty recognizing emotion in facial expressions. This ability is important, as it supports students’ skills in empathy and socialization, so they may have more natural interactions with peers and adults. Multiple methods have been utilized to improve facial emotion recognition (ER), including sessions with trained therapists, actors, and facial stimuli. The latter, the NimStim (a 2D photographic battery of 646 facial expressions), has been used to help students identify emotions. However, emotion is a dynamic and nuanced process, hence not readily captured and examined in static, single frame images. Other practices for improving ER are less reliable, sustainable, and technologically advanced in providing low-cost, naturalistic, and effective treatment. This chapter promotes the concept of leveraging 3D virtual reality (VR), using the valid and reliable data from the NimStim, to aid in facial ER for students with ASD. A case using the virtual social reality (VSR) of Second Life for ER training is presented and critiqued. The unique affordances of VR technology in apparent realism, zooming and rotation, without social and safety issues of VSR, may provide users a socially vetted and personalized interaction with facial images to build their skills of facial ER.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • American Psychiatric Association. 2013. Diagnostic and statistical manual of mental disorders: DSM-5. Washington, DC: American Psychiatric Association.

    Book  Google Scholar 

  • Backer van Ommeren, T., H.M. Koot, and S. Begeer. 2017. Reciprocity in autistic and typically developing children and adolescents with and without mild intellectual disabilities. Journal of Intellectual Disability Research 61 (8): 810–817.

    Article  Google Scholar 

  • Baron-Cohen, S. 1995. Mindblindess: An essay on autism and theory of mind. Boston: MIT Press/Bradford Books.

    Google Scholar 

  • Baron-Cohen, S., F.J. Scott, C. Allison, J. Williams, P. Bolton, F.E. Matthews, and C. Brayne. 2009. Prevalence of autism-spectrum conditions: UK school-based population study. The British Journal of Psychiatry 194 (6): 500–509.

    Article  Google Scholar 

  • Berggren, S., S. Fletcher-Watson, N. Milenkovic, P.B. Marschik, S. Bölte, and U. Jonsson. 2017. Emotion recognition training in autism spectrum disorder: A systematic review of challenges related to generalizability. Developmental Neurorehabilitation 21: 141. https://doi.org/10.1080/17518423.2017.1305004.

    Article  Google Scholar 

  • Boucenna, S., A. Narzisi, E. Tilmont, F. Muratori, G. Pioggia, D. Cohen, and M. Chetouani. 2014. Interactive technologies for autistic children: A review. Cognitive Computation 6 (4): 722–740.

    Article  Google Scholar 

  • Christensen, D.L., J. Baio, K.V.N. Braun, D. Bilder, J. Charles, J.N. Constantino, J. Daniels, M.S. Durkin, R.T. Fitzgerald, M. Kurzius-Spencer, L.-C. Lee, S. Pettygrove, C. Robinson, E. Schultz, C. Wells, M.S. Wingate, W. Zahorodny, and M. Yeargin-Allsopp. 2016. Prevalence and characteristics of autism spectrum disorder among children aged 8 years – Autism and developmental disabilities monitoring network, 11 Sites, United States, 2012. MMWR Surveillance Summaries 65 (SS-3): 1–23. https://doi.org/10.15585/mmwr.ss6503a1.

    Article  Google Scholar 

  • Chuah, M.C., D. Coombe, C. Garman, C. Guerrero, and J. Spletzer. 2014, October. Lehigh instrument for learning interaction (lili): An interactive robot to aid development of social skills for autistic children. In Mobile Ad Hoc and Sensor Systems (MASS), 2014 I.E. 11th international conference on, 731–736. IEEE.

    Google Scholar 

  • Dalgarno, B., and M. Lee. 2010. What are the learning affordances of 3-D virtual environments? British Journal of Educational Technology 41: 10–32.

    Article  Google Scholar 

  • Danilovic, S. 2009. Media review: Autism and Second Life –An introduction. Journal on Developmental Disabilities 15 (3): 125–129.

    Google Scholar 

  • Didehbani, N., T. Allen, M. Kandalaft, D. Krawczyk, and S. Chapman. 2016. Virtual reality social cognition training for children with high functioning autism. Computers in Human Behavior 62: 703–711.

    Article  Google Scholar 

  • Fletcher-Watson, S., F. McConnell, E. Manola, and H. McConachie. 2014. Interventions based on the theory of mind cognitive model for autism spectrum disorder (ASD). The Cochrane Database of Systematic Reviews. https://doi.org/10.1002/14651858.CD008785.pub2.

  • Goldsmith, T.R. 2008. Using virtual reality enhanced behavioral skills training to teach street-crossing skills to children and adolescents with autism spectrum disorder. Doctoral dissertation. Retrieved from Western Michigan University (772).

    Google Scholar 

  • Heeter, C. 1992. Being there: The subjective experience of presence. Presence Teleoperators and Virtual Environments 1 (2): 262–271.

    Article  Google Scholar 

  • Honsberger, T. (2015). Teaching individuals with autism spectrum disorder safe pedestrian skills using video modeling with in situ video prompting. Doctoral dissertation. Retrieved from Florida Atlantic University.

    Google Scholar 

  • Kouo, J.L., and A.L. Egel. 2016. The effectiveness of interventions in teaching emotion recognition to children with autism spectrum disorder. Review Journal of Autism and Developmental Disorders 3: 254–265.

    Article  Google Scholar 

  • Liss, M., B. Harel, D. Fein, D. Allen, M. Dunn, C. Feinstein, R. Morris, L. Waterhouse, and I. Rapin. 2001. Predictors and correlates of adaptive functioning in children with developmental disorders. Journal of Autism and Developmental Disorders 31 (2): 219–230.

    Article  Google Scholar 

  • Lorenzo, G., A. LledĂł, J. Pomares, and R. Roig. 2016. Design and application of an immersive virtual reality system to enhance emotional skills for children with autism spectrum disorders. Computers & Education 98: 192–205.

    Article  Google Scholar 

  • O’Brolcháin, F., T. Jacquemard, D. Monaghan, N. O’Connor, P. Novitzky, and B. Gordijn. 2016. The convergence of virtual reality and social networks: Threats to privacy and autonomy. Science and Engineering Ethics 22 (1): 1–29.

    Article  Google Scholar 

  • Papagiannidis, S., M. Bourlakis, and F. Li. 2008. Making real money in virtual worlds: MMORPGs and emerging business opportunities, challenges and ethical implications in metaverses. Technological Forecasting and Social Change 75 (5): 610–622.

    Article  Google Scholar 

  • Parsons, S. 2016. Authenticity in virtual reality for assessment and intervention in autism: A conceptual review. Educational Research Review 19: 138–157.

    Article  Google Scholar 

  • Rosenberg, N., M. Congdon, I. Schwartz, and D. Kamps. 2015. Use of say-do correspondence training to increase generalization of social interaction skills at recess for children with autism spectrum disorder. Education and Training in Autism and Developmental Disabilities 50 (2): 213.

    Google Scholar 

  • Rosset, D.B., C. Rondan, D. Da Fonseca, A. Santos, B. Assouline, and C. Deruelle. 2008. Typical emotion processing for cartoon but not for real faces in children with autistic spectrum disorders. Journal of Autism and Developmental Disorders 38 (5): 919–925.

    Article  Google Scholar 

  • Ruzic, F. 1999. The future of learning in virtual reality environments. In Telematics in education: Trends and issues, ed. M. Selinger and J. Pearson, 178–190. Amsterdam: Pergamon.

    Google Scholar 

  • Second Life. 2018. Second Life. Retrieved from http://secondlife.com/.

  • Stendal, K., and S. Balandin. 2015. Virtual worlds for people with autism spectrum disorder: A case study in Second Life. Disability and Rehabilitation 37 (17): 1–5.

    Article  Google Scholar 

  • Strickland, D. 1997. Virtual reality for the treatment of autism. In Virtual reality in neuro-psycho-physiology, ed. G. Riva, 81–86. Amsterdam: Ios Press.

    Google Scholar 

  • Sucksmith, E., C. Allison, S. Baron-Cohen, B. Chakrabarti, and R.A. Hoekstra. 2013. Empathy and emotion recognition in people with autism, first-degree relatives, and controls. Neuropsychologia 51: 98–105.

    Article  Google Scholar 

  • Tottenham, N. (n.d.). Development of the MacBrain face stimulus set: Research network on early experience and brain development. Retrieved from http://www.macbrain.org/faq.htm.

  • Tottenham, N., J.W. Tanaka, A.C. Leon, T. McCarry, M. Nurse, T.A. Hare, D.J. Marcus, A. Westerlund, B.J. Casey, and C. Nelson. 2009. The NimStim set of facial expressions: Judgments from untrained research participants. Psychiatry Research 168 (3): 242–249.

    Article  Google Scholar 

  • Uljarevic, M., and A. Hamilton. 2013. Recognition of emotions in autism: A formal meta-analysis. Journal of Autism and Developmental Disorders 43: 1517–1526.

    Article  Google Scholar 

  • Van Hecke, A., T. Oswald, and P. Mundy. 2016. Joint attention and the social phenotype of autism spectrum disorder: A perspective from developmental psychopathology. In Developmental psychopathology, ed. D. Cicchetti, 3rd ed. Hoboken: Wiley.

    Google Scholar 

  • Weisel, A. 2015. Virtual reality and the psyche. Some psychoanalytic approaches to media addiction. Journal of Analytical Psychology 60 (2): 198–219.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rebecca Hite .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer-Verlag GmbH Germany, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Hite, R., Dotson, W., Beights, R. (2019). Employing Virtual Reality to Teach Face-Based Emotion Recognition to Individuals with Autism Spectrum Disorder. In: Zhang, Y., Cristol, D. (eds) Handbook of Mobile Teaching and Learning. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41981-2_124-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41981-2_124-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41981-2

  • Online ISBN: 978-3-642-41981-2

  • eBook Packages: Springer Reference Social SciencesReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

Publish with us

Policies and ethics