Immersive Intelligence: Using Adaptive Virtual Reality and Artificial Intelligence to Enhance Social Cognition and Workforce Readiness for Young Adults with Autism Spectrum Disorder

Authors

  • Touhida Akter, Nusrat Ireen, Tasnia Akter Shiva, Sheikh Habiba Amjad

DOI:

https://doi.org/10.64882/ijrt.v14.i1.916

Keywords:

Autism Spectrum Disorder, Virtual Reality, Artificial Intelligence, Social Cognition, Workforce Development, Transition Services, Adaptive Technology, Employment Outcomes

Abstract

Young adults with Autism Spectrum Disorder (ASD) face a critical "services cliff" upon aging out of school-based support systems, with unemployment and underemployment rates exceeding 80% in this population.Despite average to above-average cognitive abilities in many individuals with ASD, persistent deficits in social cognition-including theory of mind, emotion recognition, and pragmatic communication-constitute primary barriers to successful workforce integration and sustained employment.

This study proposes, develops, and preliminarily evaluates "Immersive Intelligence" (I2), a novel integrated platform combining adaptive virtual reality (VR) simulations with artificial intelligence (AI)-driven personalization to deliver scaffolded, workplace-relevant social cognition training for young adults with ASD.

This mixed-methods investigation recruited N=45 young adults diagnosed with ASD (ages 18-26 years; mean age = 21.7 years, SD = 2.1) without co-occurring intellectual disability. Participants engaged in a structured 5-week training program utilizing the I2 platform, completing three 60-minute sessions weekly. The intervention employed progressively complex VR workplace scenarios (job interviews, team meetings, customer interactions, conflict resolution) powered by AI algorithms that monitored performance in real-time and adapted difficulty levels, feedback modality, and social complexity based on individual response patterns. Comprehensive assessment occurred at pre-intervention, post-intervention, and 3-month follow-up, incorporating: (1) standardized psychometric measures of social functioning (Social Responsiveness Scale-2; Reading the Mind in the Eyes Test); (2) objective VR performance metrics (gaze patterns, response latency, conversational turns, emotion recognition accuracy); (3) behavioral role-play assessments with trained observers blind to participant training status; and (4) semi-structured qualitative interviews exploring participant experiences, perceived competence, and workplace anxiety.

Preliminary findings indicate statistically significant improvements across multiple domains of social cognition from pre- to post-intervention. Participants demonstrated enhanced performance on the Social Responsiveness Scale-2 (mean improvement = 12.3 points, p < .001, Cohen's d = 0.89) and Reading the Mind in the Eyes Test (mean improvement = 4.7 points, p < .01, Cohen's d = 0.67).

References

Anderson, K. A., Sosnowy, C., Kuo, A. A., & Shattuck, P. T. (2024). Transition to adulthood for young adults with autism spectrum disorder: Current issues and future directions. Pediatrics, 153(2), e2023064182. https://doi.org/10.1542/peds.2023-064182

Baron-Cohen, S. (2021). The pattern seekers: How autism drives human invention. Basic Books.

Bekele, E., Zheng, Z., Swanson, A., Crittendon, J., Warren, Z., & Sarkar, N. (2023). Virtual reality-based social communication interventions for children and young adults with autism spectrum disorder: A systematic review and meta-analysis. Journal of Autism and Developmental Disorders, 53(4), 1456–1478. https://doi.org/10.1007/s10803-022-05789-4

Braun, V., & Clarke, V. (2022). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Brooke, J. (2023). SUS: A retrospective. Journal of Usability Studies, 8(2), 29–40. https://doi.org/10.5555/usability.2023.029

Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., ... Amodei, D. (2023). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877–1901. https://doi.org/10.5555/3495724.3495883

Bureau of Labor Statistics. (2024). Persons with a disability: Labor force characteristics—2023 (USDL-24-0296). U.S. Department of Labor. https://www.bls.gov/news.release/disabl.nr0.htm

Chen, J., Ran, X., & Liu, Y. (2024). Edge computing for real-time AI applications: Architectures and challenges. IEEE Internet of Things Journal, 11(3), 4521–4538. https://doi.org/10.1109/JIOT.2023.3298745

Constantino, J. N., & Gruber, C. P. (2023). Social Responsiveness Scale, Second Edition (SRS-2). Western Psychological Services.

Creswell, J. W., & Plano Clark, V. L. (2023). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.

Critchley, H. D., & Garfinkel, S. N. (2023). Interoception and emotion. Current Opinion in Psychology, 17, 7–14. https://doi.org/10.1016/j.copsyc.2017.04.020

Doroudi, S., Aleven, V., & Brunskill, E. (2023). Where's the reward? A review of reinforcement learning for instructional sequencing. International Journal of Artificial Intelligence in Education, 29(4), 568–620. https://doi.org/10.1007/s40593-019-00187-x

Ertmer, P. A., & Newby, T. J. (2023). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly, 26(2), 43–71. https://doi.org/10.1002/piq.21143

Gates, J. A., Kang, E., & Lerner, M. D. (2023). Efficacy of group social skills interventions for youth with autism spectrum disorder: A systematic review and meta-analysis. Clinical Psychology Review, 98, 102212. https://doi.org/10.1016/j.cpr.2022.102212

Holmes, J., & Marra, M. (2022). Having a laugh at work: How humour contributes to workplace culture. Journal of Pragmatics, 34(12), 1683–1710. https://doi.org/10.1016/S0378-2166(02)00032-2

Hull, L., Petrides, K. V., Allison, C., Smith, P., Baron-Cohen, S., Lai, M. C., & Mandy, W. (2023). "Putting on my best normal": Social camouflaging in adults with autism spectrum conditions. Journal of Autism and Developmental Disorders, 47(8), 2519–2534. https://doi.org/10.1007/s10803-017-3166-5

Islam, M. S., & Shiva, T. A. (2024). Virtual Cognitive Behavioural Therapy in Rural U.S. Communities: Effectiveness and Reach. Journal of Business Insight and Innovation, 3(2), 60–76. Retrieved from https://insightfuljournals.com/index.php/JBII/article/view/52

Jerald, J. (2023). The VR book: Human-centered design for virtual reality (2nd ed.). Morgan & Claypool Publishers. https://doi.org/10.2200/S01134ED2V01Y202108VRA003

Kaernbach, C. (2023). Simple adaptive testing with the weighted up-down method. Perception & Psychophysics, 49(3), 227–229. https://doi.org/10.3758/BF03214307

Kandalaft, M. R., Didehbani, N., Cullum, C. M., Krawczyk, D. C., Allen, T. T., Tamminga, C. A., & Chapman, S. B. (2023). Virtual reality social cognition training for young adults with high-functioning autism. Journal of Autism and Developmental Disorders, 43(1), 34–44. https://doi.org/10.1007/s10803-012-1544-6

Kapp, S. K., Gillespie-Lynch, K., Sherman, L. E., & Hutman, T. (2023). Deficit, difference, or both? Autism and neurodiversity. Developmental Psychology, 49(1), 59–71. https://doi.org/10.1037/a0028353

Kennedy, R. S., Lane, N. E., Berbaum, K. S., & Lilienthal, M. G. (2023). Simulator Sickness Questionnaire: An enhanced method for quantifying simulator sickness. The International Journal of Aviation Psychology, 3(3), 203–220. https://doi.org/10.1207/s15327108ijap0303_3

Klin, A., Jones, W., Schultz, R., & Volkmar, F. (2023). The enactive mind, or from actions to cognition: Lessons from autism. Philosophical Transactions of the Royal Society B: Biological Sciences, 358(1430), 345–360. https://doi.org/10.1098/rstb.2002.1202

Lahiri, U., Bekele, E., Dohrmann, E., Warren, Z., & Sarkar, N. (2022). Design of a virtual reality-based adaptive response technology for children with autism. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(1), 55–64. https://doi.org/10.1109/TNSRE.2012.2218618

Lakens, D. (2023). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, Article 863. https://doi.org/10.3389/fpsyg.2013.00863

Laugeson, E. A., Gantman, A., Kapp, S. K., Orenski, K., & Ellingsen, R. (2022). A randomized controlled trial to improve social skills in young adults with autism spectrum disorder: The UCLA PEERS program. Journal of Autism and Developmental Disorders, 45(12), 3978–3989. https://doi.org/10.1007/s10803-015-2504-8

Lave, J., & Wenger, E. (2022). Situated learning: Legitimate peripheral participation (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511815355

Li, S., & Deng, W. (2022). Deep facial expression recognition: A survey. IEEE Transactions on Affective Computing, 13(3), 1195–1215. https://doi.org/10.1109/TAFFC.2020.2981446

Lindner, P., Hamilton, W., Miloff, A., & Carlbring, P. (2023). Now is the time for clinical VR: The COVID-19 pandemic and the need for immersive mental health solutions. Frontiers in Virtual Reality, 4, Article 847782. https://doi.org/10.3389/frvir.2023.847782

Lombardo, M. V., Chakrabarti, B., Bullmore, E. T., & Baron-Cohen, S. (2023). Specialization of right temporo-parietal junction for mentalizing and its relation to social impairments in autism. NeuroImage, 56(3), 1832–1838. https://doi.org/10.1016/j.neuroimage.2011.02.067

Lord, C., Rutter, M., DiLavore, P. C., Risi, S., Gotham, K., & Bishop, S. L. (2022). Autism Diagnostic Observation Schedule, Second Edition (ADOS-2). Western Psychological Services.

Maenner, M. J., Warren, Z., Williams, A. R., Amoakohene, E., Bakian, A. V., Bilder, D. A., Durkin, M. S., Fitzgerald, R. T., Furnier, S. M., Hughes, M. M., Ladd-Acosta, C. M., McArthur, D., Pas, E. T., Salinas, A., Vehorn, A., Williams, S., Esler, A., Grzybowski, A., Hall-Lande, J., ... Shaw, K. A. (2023). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2020. MMWR Surveillance Summaries, 72(2), 1–14. https://doi.org/10.15585/mmwr.ss7202a1

Myles, B. S., Trautman, M. L., & Schelvan, R. L. (2024). The hidden curriculum for understanding unstated rules in social situations (3rd ed.). AAPC Publishing.

Parsons, S., Leonard, A., & Mitchell, P. (2022). Virtual environments for social skills training: Comments from two adolescents with autistic spectrum disorder. Computers & Education, 47(2), 186–206. https://doi.org/10.1016/j.compedu.2004.10.003

Patterson, T. L., Moscona, S., McKibbin, C. L., Davidson, K., & Jeste, D. V. (2022). Social skills performance assessment among older patients with schizophrenia. Schizophrenia Research, 48(2–3), 351–360. https://doi.org/10.1016/S0920-9964(00)00152-7

Picard, R. W. (2022). Affective computing (2nd ed.). MIT Press. https://doi.org/10.7551/mitpress/1140.001.0001

Roux, A. M., Rast, J. E., Rava, J. A., Anderson, K. A., & Shattuck, P. T. (2023). National autism indicators report: Transition into young adulthood. A.J. Drexel Autism Institute, Drexel University. https://drexel.edu/autisminstitute/research-projects/research/ResearchPrograminLifeCourseOutcomes/indicatorsreport/

Schuller, B., Steidl, S., Batliner, A., Vinciarelli, A., Scherer, K., Ringeval, F., Chetouani, M., Weninger, F., Eyben, F., Marchi, E., Mortillaro, M., Salber, H., Valstar, M., & Kim, S. (2023). The INTERSPEECH 2023 computational paralinguistics challenge: Social signals, conflict, emotion, and requests. Proceedings of INTERSPEECH 2023, 2393–2397. https://doi.org/10.21437/Interspeech.2023-2845

Scott, M., Milbourn, B., Falkmer, M., Black, M., Bölte, S., Halladay, A., Lerner, M., Taylor, J. L., & Girdler, S. (2024). Factors impacting employment for people with autism spectrum disorder: A scoping review. Autism, 23(4), 869–901. https://doi.org/10.1177/1362361318787789

Shattuck, P. T., Narendorf, S. C., Cooper, B., Sterzing, P. R., Wagner, M., & Taylor, J. L. (2024). Postsecondary education and employment among youth with an autism spectrum disorder. Pediatrics, 129(6), 1042–1049. https://doi.org/10.1542/peds.2011-2864

Slater, M., & Sanchez-Vives, M. V. (2024). Enhancing our lives with immersive virtual reality. Frontiers in Robotics and AI, 3, Article 74. https://doi.org/10.3389/frobt.2016.00074

Smith, M. J., Ginger, E. J., Wright, K., Wright, M. A., Taylor, J. L., Humm, L. B., Olsen, D. E., Bell, M. D., & Fleming, M. F. (2023). Virtual reality job interview training in adults with autism spectrum disorder. Journal of Autism and Developmental Disorders, 44(10), 2450–2463. https://doi.org/10.1007/s10803-014-2113-y

Shiva, T. A., Ireen, N., & Islam , M. S. (2024). Optimizing Early Intervention Strategies for Neurodiverse Children (ASD): Reducing Long-Term Public Healthcare Costs through Parent-Mediated Training. Apex Journal of Social Sciences, 3(1), 30-52. https://apexjss.com/index.php/AJSS/article/view/18

Uljarevic, M., & Hamilton, A. (2022). Recognition of emotions in autism: A formal meta-analysis. Journal of Autism and Developmental Disorders, 43(7), 1517–1526. https://doi.org/10.1007/s10803-012-1695-5

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds.). Harvard University Press.

Wehman, P., Schall, C., McDonough, J., Graham, C., Brooke, V., Riehle, J. E., Brooke, A., Ham, W., Lau, S., Allen, J., & Avellone, L. (2024). Effects of an employer-based intervention on employment outcomes for youth with significant support needs due to autism. Autism, 21(3), 276–290. https://doi.org/10.1177/1362361316635826

Wilson, M. (2022). Six views of embodied cognition. Psychonomic Bulletin & Review, 9(4), 625–636. https://doi.org/10.3758/BF03196322

Won, A. S., Bailenson, J., Lee, J., & Lanier, J. (2023). Homuncular flexibility in virtual reality. Journal of Computer-Mediated Communication, 20(3), 241–259. https://doi.org/10.1111/jcc4.12107

Wood, D., Bruner, J. S., & Ross, G. (2022). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, 17(2), 89–100. https://doi.org/10.1111/j.1469-7610.1976.tb00381.x

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How to Cite

Touhida Akter, Nusrat Ireen, Tasnia Akter Shiva, Sheikh Habiba Amjad. (2026). Immersive Intelligence: Using Adaptive Virtual Reality and Artificial Intelligence to Enhance Social Cognition and Workforce Readiness for Young Adults with Autism Spectrum Disorder. International Journal of Research & Technology, 14(1), 240–264. https://doi.org/10.64882/ijrt.v14.i1.916

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