ArticleJournal of autism and developmental disorders2019
Applying Eye Tracking to Identify Autism Spectrum Disorder in Children.
Article in Journal of autism and developmental disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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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
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessment of the Autism Spectrum Disorder Based on Machine Learning and Social Visual Attention: A Systematic Review.Journal of autism and developmental disorders · 2022Pooled it
- Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges.BMC psychiatry · 2026Article
- Schizophrenia recognition via eye movement features in video paradigm.European archives of psychiatry and clinical neuroscience · 2026Article
- The role of machine learning in autism spectrum disorder assessment and management.Pediatric research · 2025Review
- Optimizing MobileNetV3 for multimodal eye gaze and emotion recognition via advanced pruning and quantisation techniques.Scientific reports · 2025Article
- How Technology Advances Research and Practice in Autism Spectrum Disorder: A Narrative Review on Early Detection, Subtype Stratification, and Intervention.Brain sciences · 2025Review
- Autism Digital Phenotyping in Preschool- and School-Age Children.Autism research : official journal of the International Society for Autism Research · 2025Article
- Factors influencing timely diagnosis of autism in China: an application of Andersen's behavioral model of health services use.BMC psychiatry · 2025Article
- Diagnosing autism spectrum disorder based on eye tracking technology using deep learning models.Frontiers in medicine · 2025Article
- Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder.Health information science and systems · 2024Article
- Identifying Autism Gaze Patterns in Five-Second Data Records.Diagnostics (Basel, Switzerland) · 2024Article
- [Machine learning algorithms for identifying autism spectrum disorder through eye-tracking in different intention videos].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Article
- Article
- New eye tracking metrics system: the value in early diagnosis of autism spectrum disorder.Frontiers in psychiatry · 2024Article
- Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder.Biomolecules · 2023Article
- Characteristics of Visual Fixation in Chinese Children with Autism During Face-to-Face Conversations.Journal of autism and developmental disorders · 2023Article
- Identification of diagnostic markers for ASD: a restrictive interest analysis based on EEG combined with eye tracking.Frontiers in neuroscience · 2023Article
- Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms.Journal of autism and developmental disorders · 2022Article
- Different Eye Tracking Patterns in Autism Spectrum Disorder in Toddler and Preschool Children.Frontiers in psychiatry · 2022Article
- The Impaired Subcortical Pathway From Superior Colliculus to the Amygdala in Boys With Autism Spectrum Disorder.Frontiers in integrative neuroscience · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children.
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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.