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Updated: Feb 3, 2026
09:03
Eye Tracking Young Children with Autism
Published on: March 27, 2012
46.5K
Development and Validation of Objective and Quantitative Eye Tracking-Based Measures of Autism Risk and Symptom
Thomas W Frazier1, Eric W Klingemier2, Sumit Parikh3
1Center for Autism Cleveland Clinic, Cleveland, OH; Autism Speaks, Independence, OH.
Journal of the American Academy of Child and Adolescent Psychiatry
|November 6, 2018
Summary
Eye tracking offers objective measures for autism spectrum disorder (ASD) risk and symptom severity. These validated tools could aid in ASD identification and monitoring, improving clinical judgment.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Autism spectrum disorder (ASD) diagnosis relies on behavioral observation, which can be subjective.
- Objective, quantitative measures are needed for early ASD risk detection and symptom assessment.
Purpose of the Study:
- To develop and validate eye tracking-based measures for estimating ASD risk.
- To quantify autism symptom levels using objective gaze metrics.
Main Methods:
- Collected eye tracking data from 201 children (ages 1.6-17.6) viewing dynamic stimuli.
- Computed gaze metrics and developed autism risk and symptom indices.
- Validated measures using receiver operating characteristic analysis and correlations.
Main Results:
- The autism risk index accurately identified ASD diagnosis (AUC=0.86).
- The autism symptom index correlated strongly with Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) severity scores (r=0.41).
- Measure validity remained robust, even after adjusting for cognitive and language abilities.
Conclusions:
- Eye tracking provides useful, objective measures for ASD risk and symptom quantification.
- These measures have the potential to enhance clinical judgment in ASD identification and tracking.
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