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Application of immersive artificial intelligence based on machine vision in education management of children with autism

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Abstract

Immersive experience is a new industry under the development of science and technology. Because of its huge development prospects, it has attracted a lot of attention at home and abroad. Immersive experience is to create a virtual world through digital equipment, so that users are completely immersed in the space created by it, thereby producing a real emotional experience. Since most children with autism will close themselves in their own small world and refuse to contact the outside world, immersive artificial intelligence based on computer systems provides a possibility for the treatment of children with autism. The computer system collects and analyzes various information, and builds a customized virtual space for users. The design of this space is very close to the real world and has a safe network environment so that children with autism can Treat with peace of mind. Due to the particularity of children with autism, treatment in real hospitals requires a one-to-one model, that is, one doctor is responsible for one patient, which requires a large number of doctors to participate, a lot of equipment, and a lot of money. We only need a computer to complete one-to-one treatment. This research takes advantage of this advantage, combines computers with games for treating autism, and launches immersive artificial intelligence to provide a safer and more effective way to treat patients with autism.

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References

  • Barbera R, Condorelli F, Di Gregorio G, Piazza GD, Farella M, Bosco GL et al (2022) A case study for the design and implementation of immersive experiences in support of Sicilian cultural heritage. In: International conference on image analysis and processing. Springer International Publishing, Cham, pp 174–185

  • Chen YT, Li M, Huang CQ, Han ZM, Hwang GJ, Yang G (2022) Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools. Br J Edu Technol 53(6):2071–2091

    Article  Google Scholar 

  • Chen SX, Wu HC, Huang X (2023) Immersive experiences in digital exhibitions: the application and extension of the service theater model. J Hosp Tour Manag 54:128–138

    Article  Google Scholar 

  • De Freitas S, Rebolledo-Mendez G, Liarokapis F, Magoulas G, Poulovassilis A (2010) Learning as immersive experiences: using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world. Br J Educ Technol 41(1):69–85

    Article  Google Scholar 

  • Fan X, Jiang X, Deng N (2022) Immersive technology: a meta-analysis of augmented/virtual reality applications and their impact on tourism experience. Tour Manage 91:104534

    Article  Google Scholar 

  • Klippel A, Zhao J, Jackson KL, La Femina P, Stubbs C, Wetzel R et al (2019) Transforming earth science education through immersive experiences: delivering on a long held promise. J Educ Comput Res 57(7):1745–1771

    Article  Google Scholar 

  • Kozinets RV (2022) Immersive netnography: a novel method for service experience research in virtual reality, augmented reality and metaverse contexts. J Serv Manag 34(1):100–125

    Article  Google Scholar 

  • Lin JW, Han PH, Lee JY, Chen YS, Chang TW, Chen KW, Hung YP (2017) Visualizing the keyboard in virtual reality for enhancing immersive experience. In: ACM SIGGRAPH 2017 Posters, pp 1–2

  • Salahieh B, Cochran W, Boyce J (2021) Delivering object-based immersive video experiences. Electron Imaging 2021(18):103–111

    Google Scholar 

  • Shen G, Dai J, Moustafa H, Zhai L (2021) 5G and edge computing enabling experience delivery network (XDN) for immersive media. In: 2021 IEEE 22nd international conference on high performance switching and routing (HPSR). IEEE, pp 1–7

  • Shin J, An G, Park JS, Baek SJ, Lee K (2016) Application of precise indoor position tracking to immersive virtual reality with translational movement support. Multimed Tools Appl 75:12331–12350

    Article  Google Scholar 

  • Shiu JY, Liao ST, Tzeng SY (2023) How does online streaming reform e-commerce? An empirical assessment of immersive experience and social interaction in China. Humanit Soc Sci Commun 10(1):1–8

    Article  Google Scholar 

  • Steed A, Ortega FR, Williams AS, Kruijff E, Stuerzlinger W, Batmaz AU et al (2020) Evaluating immersive experiences during Covid-19 and beyond. Interactions 27(4):62–67

    Article  Google Scholar 

  • Steed A, Archer D, Izzouzi L, Numan N, Shapiro K, Swapp D et al (2023) Immersive competence and immersive literacy: Exploring how users learn about immersive experiences. Front Virtual Real 4:1129242

    Article  Google Scholar 

  • Ventura S, Brivio E, Riva G, Baños RM (2019) Immersive versus non-immersive experience: exploring the feasibility of memory assessment through 360 technology. Front Psychol 10:2509

    Article  Google Scholar 

  • Wang C, Li H, Kho SY (2018) VR-embedded BIM immersive system for QS engineering education. Comput Appl Eng Educ 26(3):626–641

    Article  Google Scholar 

  • Wang Y, Grant S, Grist M (2021) Enhancing the learning of multi-level undergraduate Chinese language with a 3D immersive experience-an exploratory study. Comput Assist Lang Learn 34(1–2):114–132

    Article  Google Scholar 

  • Zhang C (2020) The why, what, and how of immersive experience. IEEE Access 8:90878–90888

    Article  Google Scholar 

Download references

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  1. Quzhou University, Quzhou, 324000, Zhejiang, China

    Xu Yuchen

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  1. Xu Yuchen
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Correspondence to Xu Yuchen.

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Yuchen, X. Application of immersive artificial intelligence based on machine vision in education management of children with autism. Int J Syst Assur Eng Manag (2023). https://doi.org/10.1007/s13198-023-02141-6

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  • DOI: https://doi.org/10.1007/s13198-023-02141-6

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