Multimodal Discourse and AI-Assisted Diagnosis and Intervention of ASD: A Review of Studies Abroad

Ma Bosen, Zeng Xiaorong and Gong Ran

Chinese Journal of Language Policy and Planning ›› 2020, Vol. 5 ›› Issue (2) : 51-60.

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Chinese Journal of Language Policy and Planning ›› 2020, Vol. 5 ›› Issue (2) : 51-60. DOI: 10.19689/j.cnki.cn10-1361/h.20200204

Multimodal Discourse and AI-Assisted Diagnosis and Intervention of ASD: A Review of Studies Abroad

  • Ma Bosen, Zeng Xiaorong and Gong Ran
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Abstract

Autism has become a major global public health issue due to its rising prevalence rates and severe shortage of diagnostic and intervention resources. Studies of multimodal discourse and AI-assisted diagnosis and intervention of Autism Spectrum Disorder (ASD) play a vital role in actively addressing this challenge. This paper reviews first the research on the multimodal interactive discourse produced by autistic people and the discourse about ASD produced by other people and then the research on AI-assisted diagnosis and intervention of ASD on the basis of multimodal data abroad.

Key words

Autism Spectrum Disorder (ASD) / multimodal discourse / artificial intelligence / assisted diagnosis / assisted intervention

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Ma Bosen, Zeng Xiaorong and Gong Ran. Multimodal Discourse and AI-Assisted Diagnosis and Intervention of ASD: A Review of Studies Abroad[J]. Chinese Journal of Language Policy and Planning. 2020, 5(2): 51-60 https://doi.org/10.19689/j.cnki.cn10-1361/h.20200204

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