自閉症譜系障礙虛擬實境訓練系統的開發與驗證

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胡琇媛(Hsiu-Yuan Hu) 查詢紙本館藏

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資訊工程學系

論文名稱

自閉症譜系障礙虛擬實境訓練系統的開發與驗證
(Development and Validation of a Virtual Reality based training System for Autism Spectrum Disorder)

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至系統瀏覽論文 (2026-7-30以後開放)

摘要(中)

自閉症譜系障礙（Autism Spectrum Disorder, ASD）是一種複雜的神經發育障礙，許多ASD患者在注意力和社交方面存在缺陷。本文介紹了一個基於自閉症診斷觀察量表（Autism Diagnostic Observation Schedule, ADOS）設計的社交訓練模組，透過虛擬實境（VR）技術和多模態神經感測技術，有效提高自閉症兒童的參與度。透過不同難易度的設計，使患者能夠重複練習，逐漸克服對人群的恐懼，願意嘗試進行社交互動。該模組採用腦電圖（EEG）、眼動追蹤、頭部轉動和語音辨識等數位感測設備，在訓練過程中不斷收集數據。這些數據經過切割與統計分析，結合任務表現、臨床量表和神經生理數據，觀察患者在八週訓練中的改善情況。通過治療前後的評估模組進行相關分析，驗證社交訓練系統的有效性，並更深入了解患者症狀的改善程度，從而幫助臨床醫生制定更有效的治療方案。此外，本研究可以降低對人力醫師的需求和成本，增加偏遠地區獲得有效治療的可能性。事實證明，該模組在幫助臨床決策、改善ASD患者的症狀和治療方面具有顯著成效。

摘要(英)

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, with many individuals exhibiting deficits in attention and social interaction. This paper introduces a social training module designed based on the Autism Diagnostic Observation Schedule (ADOS), utilizing virtual reality (VR) technology and multimodal neuro-sensing techniques to effectively increase engagement in children with autism.The module includes four tasks: ball throwing and catching, card games, block stacking, and Monopoly, each targeting different social skills. Each task is divided into beginner and advanced levels, allowing patients to practice repeatedly with varying degrees of difficulty, gradually overcoming their fear of social interactions and becoming more willing to engage.This module employs digital sensing devices such as electroencephalography (EEG), eye tracking, head movement tracking, and voice recognition. Data collected during training are continuously segmented and statistically analyzed, combined with task performance, clinical scales, and neurophysiological data to observe improvements over an eight-week training period. Pre- and post-treatment evaluations verify the effectiveness of the social training system, providing deeper insights into symptom improvement, thereby aiding clinicians in making more informed treatment decisions.Furthermore, this research can reduce the need for human therapists and associated costs, increasing the accessibility of effective treatments in rural areas. The results demonstrate that this module is highly effective in assisting clinical decision-making and improving symptoms and treatment outcomes for individuals with ASD.

關鍵字(中)

★ 自閉症類群障礙
★ 虛擬實境
★ 多模態傳感器
★ 眼球追蹤
★ 數位醫療
★ 共享式注意力
★ 腦電
★ 機器學習
★ 社交行為

關鍵字(英)

★ Autism spectrum disorder (ASD)
★ virtual reality (VR)
★ Multi-sensor
★ Eye tracking
★ Joint attention (JA)
★ Digital Health
★ electroencephalography (EEG)
★ Machine Learning (ML)
★ Social skills

論文目次

摘要 I
Abstract II
致謝 IV
Table of Contents V
List of Figures VI
List of Tables VII
1. Introduction 1
2. Related Work 6
3. Methodology 9
3-1. System Architecture 9
3-2. VR Task Design 12
3-3. Measurement 18
3-4. Analysis Methods 21
4. Result 24
4-1. Clinical Scale Result 24
4-2. VR Task Performance 26
4-3. Emotion Recognition 27
4-4. Eye Tracking 30
4-5. Game Event 34
4-6. Machine Learning 37
5. Discussions 46
6. Conclusion 50
References 52

參考文獻

[1] H. Zhao, A. R. Swanson, A. S. Weitlauf, Z. E. Warren, and N. Sarkar,“Hand-in-hand: A communication-enhancement collaborative virtual re-ality system for promoting social interaction in children with autism spectrum disorders,” IEEE transactions on human-machine systems,vol. 48, no. 2, pp. 136–148, 2018.
[2] K. Macintosh and C. Dissanayake, “A comparative study of the spontaneous social interactions of children with high-functioning autism and children with asperger’s disorder,” Autism, vol. 10, no. 2, pp. 199–220,2006.
[3] J. W. S. Geme, Nelson textbook of pediatrics. Elsevier, 2020.
[4] Y. Cheng, C.-L. Huang, and C.-S. Yang, “Using a 3d immersive virtual environment system to enhance social understanding and social skills for children with autism spectrum disorders,” Focus on Autism and Other Developmental Disabilities, vol. 30, no. 4, pp. 222–236, 2015.
[5] S. M. Myers, C. P. Johnson, and C. on Children with Disabilities,“Management of children with autism spectrum disorders,” Pediatrics, vol. 120, no. 5, pp. 1162–1182, 2007.
[6] Y. Cheng, H.-C. Chiang, J. Ye, and L.-h. Cheng, “Enhancing empathy instruction using a collaborative virtual learning environment for children with autistic spectrum conditions,” Computers & Education, vol. 55, no. 4, pp. 1449–1458, 2010.
[7] E. E. Soares, K. Bausback, C. L. Beard, M. Higinbotham, E. L. Bunge,and G. W. Gengoux, “Social skills training for autism spectrum disorder: A meta-analysis of in-person and technological interventions,” Journal of Technology in Behavioral Science, vol. 6, pp. 166–180, 2021.
[8] S. E. Levy and S. L. Hyman, “Complementary and alternative medicine treatments for children with autism spectrum disorders,” Child and adolescent psychiatric clinics of North America, vol. 17, no. 4, pp. 803–820, 2008.
[9] L. Lopez-Nieto, L. M. Compa ´ n-Gabucio, L. Torres-Collado, and M. Garcia-de la Hera, “Scoping review on play-based interventions in autism spectrum disorder,” Children, vol. 9, no. 9, p. 1355, 2022.
[10] S. Ramdoss, W. Machalicek, M. Rispoli, A. Mulloy, R. Lang, and M. O’Reilly, “Computer-based interventions to improve social and emotional skills in individuals with autism spectrum disorders: A systematic review,” Developmental neurorehabilitation, vol. 15, no. 2, pp. 119–135,2012.
[11] S. A. Mubin, V. Thiruchelvam, and Y. W. Andrew, “Extended reality: How they incorporated for asd intervention,” in 2020 8th International Conference on Information Technology and Multimedia (ICIMU), pp. 262–266, IEEE, 2020.
[12] D. Sturm, M. Kholodovsky, R. Arab, D. S. Smith, P. Asanov, and K. Gillespie-Lynch, “Participatory design of a hybrid kinect game to promote collaboration between autistic players and their peers,” International Journal of Human–Computer Interaction, vol. 35, no. 8, pp. 706–723, 2019.
[13] Z. Tao, F. Yuan, and A. Hu, “Research on the application of virtual reality in the treatment of autism,” in CIBDA 2022; 3rd International Conference on Computer Information and Big Data Applications, pp. 1–5, VDE, 2022.
[14] D. Huamanchahua, Y. Valenzuela-Lino, J. Ortiz-Zacarias, and F. MancoFernandez, “Ar and vr training system for children with asd: A detailed and innovative review,” in 2022 IEEE ANDESCON, pp. 1–6, IEEE, 2022.
[15] H.-J. Li, C.-Y. Chen, C.-H. Tsai, C.-C. Kuo, K.-H. Chen, K.-H. Chen, and Y.-C. Li, “Utilization and medical costs of outpatient rehabilitation among children with autism spectrum conditions in taiwan,” BMC Health Services Research, vol. 19, pp. 1–8, 2019.
[16] M. Sandbank, K. Bottema-Beutel, S. Crowley, M. Cassidy, K. Dunham, J. I. Feldman, J. Crank, S. A. Albarran, S. Raj, P. Mahbub, et al., “Project aim: Autism intervention meta-analysis for studies of young children.,” Psychological bulletin, vol. 146, no. 1, p. 1, 2020.
[17] B. Karami, R. Koushki, F. Arabgol, M. Rahmani, and A.-H. Vahabie,“Effectiveness of virtual/augmented reality–based therapeutic interventions on individuals with autism spectrum disorder: a comprehensive meta-analysis,” Frontiers in Psychiatry, vol. 12, p. 665326, 2021.
[18] S. Carruthers, A. Pickles, V. Slonims, P. Howlin, and T. Charman, “Beyond intervention into daily life: A systematic review of generalisation following social communication interventions for young children with autism,” Autism Research, vol. 13, no. 4, pp. 506–522, 2020.
[19] B. A. Morrongiello, J. Lasenby, and N. Lee, “Infants’ learning, memory, and generalization of learning for bimodal events,” Journal of Experimental Child Psychology, vol. 84, no. 1, pp. 1–19, 2003.
[20] L. E. Bahrick, “Generalization of learning in three-and-a-half-month-old infants on the basis of amodal relations,” Child Development, vol. 73, no. 3, pp. 667–681, 2002.
[21] S. M. Myers, C. P. Johnson, and C. on Children with Disabilities, “Management of children with autism spectrum disorders,” Pediatrics, vol. 120, no. 5, pp. 1162–1182, 2007.
[22] R. Watling, J. Deitz, E. M. Kanny, and J. F. McLaughlin, “Current practice of occupational therapy for children with autism,” The American Journal of Occupational Therapy, vol. 53, no. 5, pp. 498–505, 1999.
[23] S. Bioulac, E. De Sevin, P. Sagaspe, A. Claret, P. Philip, J. MicoulaudFranchi, and M. Bouvard, “What do virtual reality tools bring to child and adolescent psychiatry?,” L’encephale, vol. 44, no. 3, pp. 280–285, 2017.
[24] K. S. Thiemann and H. Goldstein, “Social stories, written text cues, and video feedback: Effects on social communication of children with autism,” Journal of applied behavior analysis, vol. 34, no. 4, pp. 425–446, 2001.
[25] A. Leonard, P. Mitchell, and S. Parsons, “Finding a place to sit: a preliminary investigation into the effectiveness of virtual environments for social skills training for people with autistic spectrum disorders,” Virtual Reality and Associated Technologies, Veszprem, Hungary, University of Reading, 2002.
[26] D. Brown, H. Neale, S. Cobb, and H. Reynolds, “Development and evaluation of the virtual city,” International Journal of Virtual Reality, vol. 4, no. 1, pp. 27–38, 1999.
[27] H. L. Miller and N. L. Bugnariu, “Level of immersion in virtual environments impacts the ability to assess and teach social skills in autism spectrum disorder,” Cyberpsychology, Behavior, and Social Networking, vol. 19, no. 4, pp. 246–256, 2016.
[28] Y. D. Yang, T. Allen, S. M. Abdullahi, K. A. Pelphrey, F. R. Volkmar, and S. B. Chapman, “Neural mechanisms of behavioral change in young adults with high-functioning autism receiving virtual reality social cognition training: A pilot study,” Autism Research, vol. 11, no. 5, pp. 713–725, 2018.
[29] J. Zhang, Y. Li, C. Mei, et al., “A methodology of eye gazing attention determination for vr training,” in 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 138–141, IEEE, 2020.
[30] L. French and E. M. Kennedy, “Annual research review: Early intervention for infants and young children with, or at-risk of, autism spectrum disorder: a systematic review,” Journal of Child Psychology and psychiatry, vol. 59, no. 4, pp. 444–456, 2018.
[31] G. Dawson, S. Rogers, J. Munson, M. Smith, J. Winter, J. Greenson, A. Donaldson, and J. Varley, “Randomized, controlled trial of an intervention for toddlers with autism: the early start denver model,” Pediatrics, vol. 125, no. 1, pp. e17–e23, 2010.
[32] K. M. Frost, G. N. Koehn, K. M. Russell, and B. Ingersoll, “Measuring child social communication across contexts: Similarities and differences across play and snack routines,” Autism Research, vol. 12, no. 4, pp. 636–644, 2019.
[33] G. W. Gengoux, D. A. Abrams, R. Schuck, M. E. Millan, R. Libove, C. M. Ardel, J. M. Phillips, M. Fox, T. W. Frazier, and A. Y. Hardan, “A pivotal response treatment package for children with autism spectrum disorder: An rct,” Pediatrics, vol. 144, no. 3, 2019.
[34] C. Lord, M. Rutter, S. Goode, J. Heemsbergen, H. Jordan, L. Mawhood, and E. Schopler, “Autism diagnostic observation schedule,” Journal of Autism and Developmental Disorders, 2012.
[35] R. Grzadzinski and C. Lord, “Commentary: Insights into the development of the brief observation of social communication change (boscc),” Journal of mental health & clinical psychology, vol. 2, no. 5, p. 15, 2018.
[36] E. Vallefuoco, C. Bravaccio, G. Gison, L. Pecchia, and A. Pepino, “Personalized training via serious game to improve daily living skills in pediatric patients with autism spectrum disorder,” IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 7, pp. 3312–3322, 2022.
[37] A. Z. Amat, H. Zhao, A. Swanson, A. S. Weitlauf, Z. Warren, and N. Sarkar, “Design of an interactive virtual reality system, invirs, for joint attention practice in autistic children,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1866–1876, 2021.
[38] G. Nie, A. Ullal, Z. Zheng, A. R. Swanson, A. S. Weitlauf, Z. E. Warren, and N. Sarkar, “An immersive computer-mediated caregiver-child interaction system for young children with autism spectrum disorder,” IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol. 29, pp. 884–893, 2021.
[39] L. Santos, A. Geminiani, P. Schydlo, I. Olivieri, J. Santos-Victor, and A. Pedrocchi, “Design of a robotic coach for motor, social and cognitive skills training toward applications with asd children,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1223–1232, 2021.
[40] H. Yazdanin, S. Zareii, Z. B. Rekhne, A. Vakili, A. Soltani, and T. Zarifian, “Design and development of a vr-based system for training response to joint attention in autistic children: A preliminary study,” in 2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME), pp. 328–332, IEEE, 2023.

指導教授

葉士青吳曉光(Shih-Ching Yeh Hsiao-Kuang Wu)

審核日期

2024-7-29

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