Analysis of behavioral sequences in social interactions of autistic children
A latent class model based on structured play observation
Bibliographic Data
| ID | 15517110 |
|---|---|
| Authors | Yiwen Chen (0000-0002-9935-7100, Hangzhou Normal University, corresponding author) |
| Year | 2026 |
| Volume | 16 |
| Pages | 1700142-1700142 |
| Publication date | 2026-02-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1700142 |
| PMID | 41704526 |
| OpenAlex | W7127043891 |
| Language | EN |
| References cited | 35 |
This study innovatively applies dynamic systems theory to the ASD field, demonstrating that behavioral sequences can serve as intervention targets. It advances evaluation tools from static description to dynamic prediction, providing a scientific basis for personalized intervention planning. The integration of structured observation and multimodal data analysis deepens the understanding of the dynamic mechanisms underlying social impairments in ASD and holds significant theoretical and practical value
Autism · Autism spectrum disorder · Class (philosophy · Intervention (counseling · Latent class model · Social relation · Autism Spectrum Disorder Research · Behavioral and Psychological Studies · Child and Adolescent Psychosocial and Emotional Development
Virtual reality technology enhances the cognitive and social communication of children with autism spectrum disorder
What Do New Findings About Social Interaction in Autistic Adults Mean for Neurodevelopmental Research
Virtual reality enhances the social skills of children with autism spectrum disorder
Research Review
Exercise improves the social and behavioral skills of children and adolescent with autism spectrum disorders
Correlation and predictive ability of sensory characteristics and social interaction in children with autism spectrum disorder
| Highly cited | No |
|---|