Analysis of Technology Implementation for Autism Education

Authors

Norshahidatul Hasana Ishak

Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Melaka (Malaysia)

Siti Nurul Mahfuzah Mohamad

Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Melaka (Malaysia)

Mohd Lutfi Dolhalit

Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Melaka (Malaysia)

Norazah Mohd Nordin

Faculty of Education, Universiti Kebangsaan Malaysia, Selangor (Malaysia)

Nor Hafizah Adnan

Faculty of Education, Universiti Kebangsaan Malaysia, Selangor (Malaysia)

Juanita

Universitas Muhammadiyah Purwokerto (Indonesia)

Muhammad Hafizi bin Mohd Ali

Inter-City MPC (M) Sdn Bhd, 5, Jln Para U8/103, Shah Alam, Selangor (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2025.91200062

Subject Category: Education

Volume/Issue: 9/12 | Page No: 729-742

Publication Timeline

Submitted: 2025-12-10

Accepted: 2025-12-16

Published: 2025-12-31

Abstract

An abstract is often presented separate from the article, so it must be able to Autism, also known as Autism Spectrum Disorder (ASD), is classified as a neurodevelopmental disorder, social communication and social interaction deficits. Children with autism have restricted repetitive behaviours, activities, and narrow interests. ASD also makes it hard for them to imitate, pay attention to the same thing at the same time, understand goals, share feelings, and use language to communicate and play with other people. They are usually in their own world. To assist these children with autism, there are lots of tries to help them ease their daily activities and learning sessions. This paper discusses the implementation and impact of technology for autism in education. The paper review uses the Preferred Reporting Items for Systematic Review (PRISMA) method with a specific keyword, which is “autism robot special education technology”. Our results show that technology can create both enjoyable and challenging learning settings. Most of the technologies are used to assist the learning process. Hence, special education can use technology to help children with autism, such as robots, video, virtual reality, interactive environments, games, and others that impact autism education. The review found that a humanoid robot is the most suitable to assist these children. Some elements and learning styles also have been discovered in this study. These technologies will positively impact children with autism by increasing social communication, cognitive ability, emotional dimensions, and learning environment. This study is limited to three online databases: Scopus, WoS, and IEEE. Future research with a different online database might be advantageous.

Keywords

Robotic, Special Needs Education,

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References

1. D. A. U. Alarcon, S. Cano, F. H. R. Paucar, R. F. P. Quispe, F. Talavera‐mendoza, and M. E. R. Zegarra, “Exploring the effect of robot‐based video interventions for children with autism spectrum disorder as an alternative to remote education,” Electronics (Switzerland), vol. 10, no. 21, 2021, doi: 10.3390/electronics10212577. [Google Scholar] [Crossref]

2. N. Hasana Ishak, N. Bakar, S. Nurul, M. Mohamad, H. Hasan, and A. Alias, “The Knowledge and Information of Autism Spectrum Disorders: Diagnosis, Treatment and Awareness,” Int J Soc Sci Res, vol. 2, no. 4, pp. 217–229, 2020. [Google Scholar] [Crossref]

3. Hidayah Mat Zain N, F. A. Farif M., N. H. Ishak, S. N. Johari, A. Yasin M., and N. A. Noh M., “Learning Through Games: An Approach for Children with Autism Spectrum Disorder During COVID-19 Pandemic,” Turkish Journal of Computer and Mathematics Education (TURCOMAT), vol. 12, no. 5, pp. 1820–1829, 2021, doi: 10.17762/turcomat.v12i5.2196. [Google Scholar] [Crossref]

4. G. R. Hayes, S. Hirano, G. Marcu, M. Monibi, D. H. Nguyen, and M. Yeganyan,“Interactive visual supports for children with autism,” Pers Ubiquitous Comput, vol. 14, no. 7, pp. 663–680, Oct. 2010, doi: 10.1007/s00779-010-0294-8. [Google Scholar] [Crossref]

5. S. Qiu et al., “Prevalence of autism spectrum disorder in Asia: A systematic review and meta-analysis,” Psychiatry Res, vol. 284, no. May 2019, p. 112679, 2020, doi: 10.1016/j.psychres.2019.112679. [Google Scholar] [Crossref]

6. R. P. Walensky et al., “Morbidity and Mortality Weekly Report Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years-Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020,” 2020. [Google Scholar] [Crossref]

7. K. Toth, J. Munson, A. N. Meltzoff, and G. Dawson, “Early predictors of communication development in young children with autism spectrum disorder: Joint attention, imitation, and toy play,” J Autism Dev Disord, vol. 36, no. 8, pp. 993–1005, Nov. 2006, doi: 10.1007/S10803-0060137-7. [Google Scholar] [Crossref]

8. L. Boccanfuso, S. Scarborough, R. K. Abramson, A. V. Hall, H. H. Wright, and J. M. O’Kane, “A low-cost socially assistive robot and robot-assisted intervention for children with autism spectrum disorder: field trials and lessons learned,” Auton Robots, vol. 41, no. 3, pp. 637– 655, 2017, doi: 10.1007/s10514-016-9554-4. [Google Scholar] [Crossref]

9. Office of Communications, “Early Intervention for Autism ,” NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development. Accessed: Sep. 02, 2022. [Online]. Available: https://www.nichd.nih.gov/health/topics/autism/conditioninfo/treatments/early-intervention# [Google Scholar] [Crossref]

10. T. Velor, “A Low-cost Social Companion Robot for Children with Autism Spectrum Disorder,” University of Ottawa, 2020. [Google Scholar] [Crossref]

11. K. Cakmak, “Levels of Support for ASD,” Otsimo Editorial Team. Accessed: Apr. 16, 2021. [Online]. Available: https://otsimo.com/en/levels-support-asd/ [Google Scholar] [Crossref]

12. A. Pietrangelo, “Types of Autism: Terminology That’s No Longer Used Today,” healthline.com. Accessed: Apr. 13, 2021. [Online]. Available: https://www.healthline.com/health/types-of-autism [Google Scholar] [Crossref]

13. A. Masi, M. M. DeMayo, N. Glozier, and A. J. Guastella, “An Overview of Autism Spectrum Disorder, Heterogeneity and Treatment Options,” Neurosci Bull, vol. 33, no. 2, pp. 183–193, 2017, doi: 10.1007/s12264-017-0100-y. [Google Scholar] [Crossref]

14. N. H. Ishak, S. N. M. Mohamad, S. Shamsuddin, M. L. Bin Dolhalit, A. Alias, and S. Salam, “Identifying Needs and Problems in Learning for Children with Autism Spectrum Disorder (ASD) from a Technology Perspective,” in 2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE), IEEE, May 2023, pp. 44–50. doi: 10.1109/ISCAIE57739.2023.10165357. [Google Scholar] [Crossref]

15. L. J. Rudy, “Understanding the Three Levels of Autism.” Accessed: Apr. 17, 2021. [Online]. Available: https://www.verywellhealth.com/what-are-the-three-levels-of-autism260233#level-2-requiring-substantial-support [Google Scholar] [Crossref]

16. A. S. Weitlauf, K. O. Gotham, A. C. Vehorn, and Z. E. Warren, “Brief report: DSM-5 ‘levels of support:’ A comment on discrepant conceptualizations of severity in asd,” J Autism Dev Disord, vol. 44, no. 2, pp. 471–476, 2013, doi: 10.1007/s10803-013-1882-z. [Google Scholar] [Crossref]

17. C. K. N. C. K. Mohd, F. Shahbodin, M. Maria, M. Sedek, and S. N. M. Mohamad, “Integrating an instructional design model in video development for autism spectrum disorder,” Int J Eng Adv Technol, vol. 9, no. 1, pp. 445–448, 2019, doi: 10.35940/ijeat.A9481.109119. [Google Scholar] [Crossref]

18. L. J. Rudy, “Social Stories for Kids With Autism,” 2021. [Online]. Available: https://www.verywellhealth.com/social-stories-for-kids-with-autism-4176139?print [Google Scholar] [Crossref]

19. C. K. N. C. K. Mohd, F. Shahbodin, M. Sedek, and M. Samsudin, “Game based learning for autism in learning mathematics,” International Journal of Advanced Science and Technology, vol. 29, no. 5, pp. 4684–4691, 2020. [Google Scholar] [Crossref]

20. D. Friedlander, “Comparison of the Learning Styles of Students with Autism Versus Typical Elementary-School Students,” 2010. [Google Scholar] [Crossref]

21. S. R. Colorosa, M. E. Carole, and J. Makela, “Integrative Literature Review: Styles of Learning for Autism Spectrum Disorders and Human Resource Development: Informing Performance Management,” International Journal of Business and Social Science, vol. 5, no. 13, pp. 1–12, 2014, [Online]. Available: www.ijbssnet.com [Google Scholar] [Crossref]

22. S. Apipah, Kartono, and Isnarto, “An analysis of mathematical connection ability based on student learning style on visualization auditory kinesthetic (VAK) learning model with selfassessment,” J Phys Conf Ser, vol. 983, no. 1, 2018, doi: 10.1088/1742-6596/983/1/012138. [Google Scholar] [Crossref]

23. S. N. M. Mohamad, N. I. Azmidy, I. B. M K, and C. Ku Nuraini CKM, “Designing a Mobile Game Application for Student with Learning Disabilities,” INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION, vol. 4, no. 3, pp. 154–158, 2020. [Google Scholar] [Crossref]

24. S. A. Asmai, N. Bakar, S. Salam, N. H. Adnan, and M. H. M. Ali, “A conceptual framework for automated assistive learning using robot for autism: A review,” J Theor Appl Inf Technol, vol. 99, no. 15, pp. 3753–3767, 2021. [Google Scholar] [Crossref]

25. A. Amanatiadis, V. G. Kaburlasos, C. Dardani, S. A. Chatzichristofis, and A. Mitropoulos, “Social Robots in Special Education: Creating Dynamic Interactions for Optimal Experience,” IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 39–45, 2020, doi: 10.1109/MCE.2019.2956218. [Google Scholar] [Crossref]

26. M. D. Manner, “Leveraging computer vision and humanoid robots to detect autism in toddlers.,” Dissertation Abstracts International: Section B: The Sciences and Engineering, vol. 80, no. 7-B(E), p. No-Specified, 2019, [Online]. Available: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=psyc16&NEWS=N&AN=201941135-248 [Google Scholar] [Crossref]

27. U. Qidwai, S. B. A. Kashem, and O. Conor, “Humanoid Robot as a Teacher’s Assistant: Helping Children with Autism to Learn Social and Academic Skills,” Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 98, no. 3–4, pp. 759–770, 2020, doi: 10.1007/s10846-019-01075-1. [Google Scholar] [Crossref]

28. M. Dimitrova et al., “Robotic Technology for Inclusive Education: A Cyber-Physical System Approach to Pedagogical Rehabilitation,” in ACM International Conference Proceeding Series, Association for Computing Machinery, Jun. 2020, pp. 293–299. doi: 10.1145/3407982.3408019. [Google Scholar] [Crossref]

29. S. Boucenna et al., “Interactive Technologies for Autistic Children: A Review,” Cognit Comput, vol. 6, no. 4, pp. 722–740, Dec. 2014, doi: 10.1007/s12559-014-9276-x. [Google Scholar] [Crossref]

30. R. Vagnetti, A. Di Nuovo, M. Mazza, and M. Valenti, “Social Robots: A Promising Tool to Support People with Autism. A Systematic Review of Recent Research and Critical Analysis from the Clinical Perspective,” 2024, Springer. doi: 10.1007/s40489-024-00434-5. [Google Scholar] [Crossref]

31. L. Brown and A. M. Howard, “Engaging Children in Math Education using a Socially Interactive Humanoid Robot,” Atlanta: IEEE, Oct. 2013, pp. 183–188. [Google Scholar] [Crossref]

32. E. Cervera, A. P. Del Pobil, and M. I. Cabezudo, “Playful Interaction with Humanoid Robots for Social Development in Autistic Children: a Pilot Study,” in 2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019, Institute of Electrical and Electronics Engineers Inc., Oct. 2019. doi: 10.1109/RO-MAN46459.2019.8956377. [Google Scholar] [Crossref]

33. F. Wu, S. Lin, X. Cao, H. Zhong, and J. Zhang, “Head design and optimization of an emotionally interactive robot for the treatment of autism,” in ACM International Conference Proceeding Series, New York, NY, USA: Association for Computing Machinery, Jul. 2019, pp. 1–10. doi: 10.1145/3351917.3351992. [Google Scholar] [Crossref]

34. J. Bharatharaj, L. Huang, R. E. Mohan, A. Al-Jumaily, and C. Krägeloh, “Robot-assisted therapy for learning and social interaction of children with autism spectrum disorder,” 2017. doi: 10.3390/robotics6010004. [Google Scholar] [Crossref]

35. E. W. Pujiharto, E. Tikasni, R. Lewu, S. Sudirman, and E. Utami, “Systematic Literature Review on Software Requirement Engineering in 5.0 Industry: Current Practices and Future Challenges.” [Google Scholar] [Crossref]

36. Y. Xiao and M. Watson, “Guidance on Conducting a Systematic Literature Review,” J Plan Educ Res, vol. 39, no. 1, pp. 93–112, Mar. 2019, doi: 10.1177/0739456X17723971. [Google Scholar] [Crossref]

37. B. Peixoto, R. Pinto, M. Melo, L. Cabral, and M. Bessa, “Immersive virtual reality for foreign language education: A PRISMA systematic review,” IEEE Access, vol. 9, pp. 48952–48962, 2021, doi: 10.1109/ACCESS.2021.3068858. [Google Scholar] [Crossref]

38. K. Valencia, C. Rusu, D. Quiñones, and E. Jamet, “The impact of technology on people with autism spectrum disorder: A systematic literature review,” Oct. 02, 2019, MDPI AG. doi: 10.3390/s19204485. [Google Scholar] [Crossref]

39. N. I. Arshad, A. S. Hashim, M. Mohd Ariffin, N. Mohd Aszemi, H. M. Low, and A. A. Norman, “Robots as Assistive Technology Tools to Enhance Cognitive Abilities and Foster Valuable Learning Experiences among Young Children with Autism Spectrum Disorder,” IEEE Access, vol. 8, pp. 116279–116291, 2020, doi: 10.1109/ACCESS.2020.3001629. [Google Scholar] [Crossref]

40. N. Fachantidis, C. K. Syriopoulou-Delli, and M. Zygopoulou, “Τhe Effectiveness of Socially Assistive Robotics in Children With Autism Spectrum Disorder,” Int J Dev Disabil, vol. 66, no. 2, pp. 113–121, 2020, doi: 10.1080/20473869.2018.1495391. [Google Scholar] [Crossref]

41. C. M. Pontikas, E. Tsoukalas, and A. Serdari, “A map of assistive technology educative instruments in neurodevelopmental disorders,” 2022, Taylor and Francis Ltd. doi: 10.1080/17483107.2020.1839580. [Google Scholar] [Crossref]

42. F. S. Feroz et al., “Biomarkers of Visual Perception Dysfunction In Autism: Progress and Directions In EEG Research,” Acta Neuropsychologica, vol. 20, no. 1, pp. 115–127, Mar. 2022, doi: 10.5604/01.3001.0015.8186. [Google Scholar] [Crossref]

43. A. E. Alimi, E. Omolafe Babalola, G. A. Aladesusi, A. Idris Issa, and E. V. Omolafe, “Availability and Utilization of Assistive Technology for Learning among Students with Special Needs in Ilorin, Kwara State Indonesian Journal of Community and Special Needs Education,” Indonesian Journal of Community and Special Needs Education, vol. 1, no. 2, pp. 17–28, Aug. 2021, doi: 10.17509/xxxx.vxix. [Google Scholar] [Crossref]

44. X. Liu, Q. Wu, W. Zhao, and X. Luo, “Technology-facilitated diagnosis and treatment of individuals with autism spectrum disorder: An engineering perspective,” Applied Sciences (Switzerland), vol. 7, no. 10, pp. 1–31, 2017, doi: 10.3390/app7101051. [Google Scholar] [Crossref]

45. H. H. S. Ip et al., “Enhance emotional and social adaptation skills for children with autism spectrum disorder: A virtual reality enabled approach,” Comput Educ, vol. 117, pp. 1–15, 2018, doi: 10.1016/j.compedu.2017.09.010. [Google Scholar] [Crossref]

46. N. Newbutt, “Encyclopedia of Education and Information Technologies,” Encyclopedia of Education and Information Technologies, no. May, pp. 0–15, 2020, doi: 10.1007/978-3-31960013-0. [Google Scholar] [Crossref]

47. M. Zhang, H. Ding, M. Naumceska, and Y. Zhang, “Virtual Reality Technology as an Educational and Intervention Tool for Children with Autism Spectrum Disorder: Current Perspectives and Future Directions,” May 01, 2022, MDPI. doi: 10.3390/bs12050138. [Google Scholar] [Crossref]

48. N. Aresti-Bartolome and B. Garcia-Zapirain, “Cognitive rehabilitation system for children with autism spectrum disorder using serious games: A pilot study,” Biomed Mater Eng, vol. 26, pp. S811–S824, 2015, doi: 10.3233/BME-151373. [Google Scholar] [Crossref]

49. E. M. Whyte, J. M. Smyth, and K. S. Scherf, “Designing Serious Game Interventions for Individuals with Autism,” J Autism Dev Disord, vol. 45, no. 12, pp. 3820–3831, 2015, doi:10.1007/s10803-014-2333-1. [Google Scholar] [Crossref]

50. L. Rakhimzhanova, D. Issabayeva, J. Kultan, N. Baimuldina, Z. Issabayeva, and Z. [Google Scholar] [Crossref]

51. Aituganova, “Using Augmented Reality to Teach Digital Literacy Course to Primary School Children with Special Educational Needs,” European Journal of Educational Research, vol. 14, no. 1, pp. 55–71, Jan. 2025, doi: 10.12973/eu-jer.14.1.55. [Google Scholar] [Crossref]

52. H. Liu, J. Zhu, P. Ni, Y. Li, and S. Li, “Research on Design Methods for Interactive Spaces in Schools for Children with Intellectual Disabilities Considering User Needs,” Buildings, vol. 14, no. 7, Jul. 2024, doi: 10.3390/buildings14072230. [Google Scholar] [Crossref]

53. S. Zheng, K. Tan, M. Shendyapina, L. Nguan, and S. Tay, “Evaluating the use of immersive interactive mixed reality (IMR) technology in special needs education in Singapore,” 2020. [Google Scholar] [Crossref]

54. N. Aresti-Bartolome and B. Garcia-Zapirain, “Technologies as support tools for persons with autistic spectrum disorder: A systematic review,” Int J Environ Res Public Health, vol. 11, no. 8, pp. 7767–7802, 2014, doi: 10.3390/ijerph110807767. [Google Scholar] [Crossref]

55. N. Zamin, N. I. Arshad, N. Rafiey, and A. S. Hashim, “Robotic teaching aid for disabled children: A sustainable solution for industrial revolution 4.0,” International Journal of Engineering and Technology(UAE), vol. 7, no. 2, pp. 200–203, 2018, doi: 10.14419/ijet.v7i2.28.12912. [Google Scholar] [Crossref]

56. M. A. Saleh, F. A. Hanapiah, and H. Hashim, “Robot applications for autism: a comprehensive review,” Disabil Rehabil Assist Technol, vol. 0, no. 0, pp. 1–23, 2020, doi: 10.1080/17483107.2019.1685016. [Google Scholar] [Crossref]

57. P. D. Barua et al., “Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review,” Feb. 01, 2022, MDPI. doi: 10.3390/ijerph19031192. [Google Scholar] [Crossref]

58. H. Kumazaki et al., “A pilot study for robot appearance preferences among highfunctioning individuals with autism spectrum disorder: Implications for therapeutic use,” PLoS One, vol. 12, no. 10, 2017, doi: 10.1371/journal.pone.0186581. [Google Scholar] [Crossref]

59. K. Valencia, C. Rusu, D. Quiñones, and E. Jamet, “The impact of technology on people with autism spectrum disorder: A systematic literature review,” Sensors (Switzerland), vol. 19, no. 20, pp. 1–22, 2019, doi: 10.3390/s19204485. [Google Scholar] [Crossref]

60. W. C. So et al., “Who is a better teacher for children with autism? Comparison of learning outcomes between robot-based and human-based interventions in gestural production and recognition,” Res Dev Disabil, vol. 86, pp. 62–75, Mar. 2019, doi: 10.1016/j.ridd.2019.01.002. [Google Scholar] [Crossref]

61. C. Lytridis et al., “Distance special education delivery by social robots,” Electronics (Switzerland), vol. 9, no. 6, pp. 1–13, Jun. 2020, doi: 10.3390/electronics9061034. [Google Scholar] [Crossref]

62. M. A. Rosly, D. Kamaruzaman, L. H. Zulkornain, S. Shamsuddin, N. I. Zahari, and H. [Google Scholar] [Crossref]

63. Yussof, “Zorabots: A suitable robot-mediated telerehabilitation interface,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Jun. 2020. doi: 10.1088/17426596/1529/2/022047. [Google Scholar] [Crossref]

64. G. Ince, R. Yorganci, A. Ozkul, T. B. Duman, and H. Köse, “An audiovisual interfacebased drumming system for multimodal human–robot interaction,” Journal on Multimodal User Interfaces, vol. 15, no. 4, pp. 413–428, Dec. 2021, doi: 10.1007/s12193-020-00352-w. [Google Scholar] [Crossref]

65. N. I. Ishak, H. M. Yusof, M. R. H. Ramlee, S. N. I. Sidek, and N. Rusli, “Modules of Interaction for ASD Children Using Rero Robot (Humanoid),” 2019 7th International Conference on Mechatronics Engineering, ICOM 2019, 2019, doi: 10.1109/ICOM47790.2019.8952038. [Google Scholar] [Crossref]

66. H. Kumazaki et al., “Brief Report: A Novel System to Evaluate Autism Spectrum Disorders Using Two Humanoid Robots,” J Autism Dev Disord, vol. 49, no. 4, pp. 1709–1716, 2019, doi: 10.1007/s10803-018-3848-7. [Google Scholar] [Crossref]

67. J. Andrade-Altamirano, A. Parra-Astudillo, V. Rbles-Bykbaev, N. Almeida-Soliz, S. BravoBuri, and E. Lema_Condo, “AsiRo-μ: A Multi-purpose Robotic Assistant for Educational Inclusion of Children with Multiple Disabilities,” in Advances in Artificial Intelligence, Software and Systems Engineering , vol. 271, A. Z. Ahram, W. Karwowski, and J. Kalra, Eds., Switzerland: Springer, 2021, pp. 199–206. Accessed: May 10, 2022. [Online]. Available: https://books.google.com.my/books?id=BW03EAAAQBAJ&pg=PA199&dq=AsiRo-%CE%BC:+A+Multi- [Google Scholar] [Crossref]

68. purpose+Robotic+Assistant+for+Educational+Inclusion+of+Children+with+Multiple+Disabilities& hl=en&sa=X&ved=2ahUKEwiturH2jtT3AhXXet4KHT5gD6UQ6AF6BAgIEAI#v=onepage&q=AsiRo-%CE%BC%3A%20A%20Multi-purpose%20Robotic%20Assistant%20for%20Educational%20Inclusion%20of%20Children%20wit h%20Multiple%20Disabilities&f=false [Google Scholar] [Crossref]

69. N. I. Arshad et al., “Analyzing the Effectiveness of Robotic Intervention among Autism Children in Learning Mathematics,” pp. 1–8, 2019. [Google Scholar] [Crossref]

70. H. Javed and C. H. Park, “Interactions with an Empathetic Agent: Regulating Emotions and Improving Engagement in Autism,” IEEE Robot Autom Mag, vol. 26, no. 2, pp. 40–48, Jun. 2019, doi: 10.1109/MRA.2019.2904638. [Google Scholar] [Crossref]

71. N. Paul, S. Ramesh, C. Bhattacharya, J. Ramesh, and P. Vijayan, “Can Non-Humanoid Social Robots Reduce Workload of Special Educators: An Online and In-Premises Field Study,” in Proceedings - IEEE International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 11386–11392. doi: 10.1109/ICRA48506.2021.9561633. [Google Scholar] [Crossref]

72. N. Rakhymbayeva, A. Amirova, and A. Sandygulova, “A Long-Term Engagement with a Social Robot for Autism Therapy,” Front Robot AI, vol. 8, Jun. 2021, doi: 10.3389/frobt.2021.669972. [Google Scholar] [Crossref]

73. B. Scassellati et al., “Improving social skills in children with ASD using a long-term, inhome social robot,” 2018. [Online]. Available: http://robotics.sciencemag.org/ [Google Scholar] [Crossref]

74. F. Ke, J. Moon, and Z. Sokolikj, “Virtual Reality–Based Social Skills Training for Children With Autism Spectrum Disorder,” Journal of Special Education Technology, vol. 37, no. 1, pp. 49– 62, Mar. 2022, doi: 10.1177/0162643420945603. [Google Scholar] [Crossref]

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