A novel eXplainable AI agent for social interaction training of people with Autism Spectrum Disorder (ASD)

Autism Spectrum Disorder (ASD) is a neurological disorder that impacts a subject’s ability to be involved in a social interaction. Machine learning (ML) and deep learning (DL) models have been mainly used for ASD detection, which are however criticized for their ‘black-boxness’, advocating the use o...

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Published inInternational journal of information technology (Singapore. Online) Vol. 17; no. 5; pp. 2957 - 2969
Main Authors Gupta, Prashant K., Mazumdar, Bireshwar Dass, Mishra, Manmohan, Chadha, Rubina, Komaragiri, Rama S.
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 01.06.2025
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Autism
Computer Imaging
Computer Science
Deep learning
Explainable artificial intelligence
Image Processing and Computer Vision
Interaction models
Literature reviews
Machine Learning
Neurological diseases
Original Research
Pattern Recognition and Graphics
Social interaction
Software Engineering
Vision
EXplainable AI
Artificial intelligence (AI)
Social interaction training
Autism spectrum disorder
Neurological disorders
AI Agent
Online AccessGet full text
ISSN2511-2104
2511-2112
DOI10.1007/s41870-025-02486-0

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Summary:Autism Spectrum Disorder (ASD) is a neurological disorder that impacts a subject’s ability to be involved in a social interaction. Machine learning (ML) and deep learning (DL) models have been mainly used for ASD detection, which are however criticized for their ‘black-boxness’, advocating the use of eXplainable artificial intelligence (XAI) algorithms. As per the literature search so far, no social interaction model-based eXplainable Autism Spectrum Disorder (ASD) care agent exists for social interaction training of an ASD subject. Therefore, this work makes a beginning in this direction. A novel architecture of an eXplainable ASD care agent for social interaction training of ASD subjects, with an underlying intelligent AI algorithm is presented. Its working is elucidated through six representative social interaction scenarios and some practical considerations are also presented when the agent is put in practice with the ASD subject. The working of the proposed ASD care agent is also depicted through a suitable case study.
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ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-025-02486-0