ASD-HI: A Parent-Child Interaction Dataset for Automated Assessment of Home Intervention

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dc.contributor.authorLi, Zhaohui
dc.contributor.authorAkemoglu, Yusuf
dc.contributor.authorLyu, Jincheng
dc.contributor.authorZheng, Qingxiao
dc.contributor.authorXiong, Jinjun
dc.date.accessioned2025-10-11T20:45:19Z
dc.date.available2025-10-11T20:45:19Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.descriptionGoogle#Gates Foundation#Hewlett Packard Enterprise#Eedi#VitalSource# duolingo english test#Springer#en_US
dc.description26th International Conference on Artificial Intelligence in Education -- AIED 2025 -- Palermo -- AX6335679en_US
dc.description.abstractHome-based interventions are vital for supporting young children with autism spectrum disorder (ASD), yet many parents struggle to implement strategies effectively due to limited training. While specialists such as educators and speech-language pathologists provide guidance, real-time feedback outside professional settings remains scarce. To bridge this gap, we leverage advances in AI to support parents through automated assessment. However, training such AI systems requires robust data, which is currently limited. To address this, we created ASD-HI (Autism Spectrum Disorder - Home Intervention), a multi-modal dataset comparing 473 real parent-child interaction videos across three families. ASD-HI supports two core tasks: 1) Strategy Detection, identifying the behavioral strategies parents use, and 2) Fidelity Assessment, assessing the fidelity with which these strategies are implemented. We also propose a prompting-based LLM pipeline as a reference approach. It achieves 74% recall and 50% precision for strategy detection and 60% accuracy for fidelity assessment. Our work lays a foundation for developing AI-driven tools to enhance home interventions and improve outcomes for children with special needs. © 2025 Elsevier B.V., All rights reserved.en_US
dc.identifier.doi10.1007/978-3-031-98414-3_4
dc.identifier.endpage62en_US
dc.identifier.isbn9789819698936
dc.identifier.isbn9789819698042
dc.identifier.isbn9789819698110
dc.identifier.isbn9789819698905
dc.identifier.isbn9789819512324
dc.identifier.isbn9783032026019
dc.identifier.isbn9783032008909
dc.identifier.isbn9783031915802
dc.identifier.isbn9789819698141
dc.identifier.isbn9783031984136
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-105012030192en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage48en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-98414-3_4
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21269
dc.identifier.volume15877 LNAIen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_Scopus_20250911
dc.subjectAutism Spectrum Disorderen_US
dc.subjectEarly Interventionen_US
dc.subjectHome-based Interventionen_US
dc.subjectLarge Language Modelsen_US
dc.subjectSpecial Educationen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectBehavioral Researchen_US
dc.subjectLarge Datasetsen_US
dc.subjectAutism Spectrum Disordersen_US
dc.subjectAutomated Assessmenten_US
dc.subjectEarly Interventionen_US
dc.subjectHome-baseden_US
dc.subjectHome-based Interventionen_US
dc.subjectLanguage Modelen_US
dc.subjectLarge Language Modelen_US
dc.subjectParent-child Interactionsen_US
dc.subjectSpecial Educationen_US
dc.subjectYoung Childrenen_US
dc.subjectDiseasesen_US
dc.titleASD-HI: A Parent-Child Interaction Dataset for Automated Assessment of Home Interventionen_US
dc.typeConference Objecten_US

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