ArticleAutism : the international journal of research and practice2019
Computer vision analysis captures atypical attention in toddlers with autism.
Article in Autism : the international journal of research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- Digital tools for direct assessment of autism risk during early childhood: A systematic review.Autism : the international journal of research and practice · 2024Pooled it
- Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019.Translational psychiatry · 2020Pooled it
- Virtual reality technology enhances the cognitive and social communication of children with autism spectrum disorder.Frontiers in public health · 2022Trial
- Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology.Autism research : official journal of the International Society for Autism Research · 2026Article
- Automated AI based identification of autism spectrum disorder from home videos.NPJ digital medicine · 2025Article
- Article
- Autism Digital Phenotyping in Preschool- and School-Age Children.Autism research : official journal of the International Society for Autism Research · 2025Article
- Remote monitoring of social attention in neurogenetic syndromes and idiopathic neurodevelopmental disability.Autism research : official journal of the International Society for Autism Research · 2025Article
- Remote Infant Studies of Early Learning (RISE): Scalable online replications of key findings in infant cognitive development.Developmental psychology · 2025Article
- Detecting Autism from Head Movements using Kinesics.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2024Article
- Autism Spectrum Disorder in Children: Early Signs and Therapeutic Interventions.Children (Basel, Switzerland) · 2024Review
- Behavioral Intervention for Adults With Autism on Distribution of Attention in Triadic Conversations: A/B-Tested Pre-Post Study.JMIR formative research · 2024Article
- Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.Journal of autism and developmental disorders · 2024Article
- Objective Measurement of Social Gaze and Smile Behaviors in Children with Suspected Autism Spectrum Disorder During Administration of the Autism Diagnostic Observation Schedule, 2nd Edition.Journal of autism and developmental disorders · 2024Article
- Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study.JMIR research protocols · 2024Article
- Video-audio neural network ensemble for comprehensive screening of autism spectrum disorder in young children.PloS one · 2024Article
- Automated anomalous child repetitive head movement identification through transformer networks.Physical and engineering sciences in medicine · 2023Article
- [A review of studies on visual behavior analysis aided diagnosis of autism spectrum disorders].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.Annual review of biomedical data science · 2023Review
- Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.Autism research : official journal of the International Society for Autism Research · 2023Article
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
Abstract
To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two of the toddlers had autism spectrum disorder and 82 had typical development or developmental delay. Toddlers watched video stimuli on a tablet while the built-in camera recorded their head movement. Computer vision analysis measured participants' attention and orienting in response to name calls. Reliability of the computer vision analysis algorithm was tested against a human rater. Differences in behavior were analyzed between the autism spectrum disorder group and the comparison group. Reliability between computer vision analysis and human coding for orienting to name was excellent (intra-class coefficient 0.84, 95% confidence interval 0.67-0.91). Only 8% of toddlers with autism spectrum disorder oriented to name calling on >1 trial, compared to 63% of toddlers in the comparison group (p = 0.002). Mean latency to orient was significantly longer for toddlers with autism spectrum disorder (2.02 vs 1.06 s, p = 0.04). Sensitivity for autism spectrum disorder of atypical orienting was 96% and specificity was 38%. Older toddlers with autism spectrum disorder showed less attention to the videos overall (p = 0.03). Automated coding offers a reliable, quantitative method for detecting atypical social orienting and reduced sustained attention in toddlers with autism spectrum disorder.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.