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Diagnosing Colour Vision Deficiencies Using Eye Movements (Without Dedicated Eye-Tracking Hardware)
Aryaman Taore1,2, Gabriel Lobo1, Philip R K Turnbull1,2
1School of Optometry & Vision Science, The University of Auckland, Auckland 1142, New Zealand.
Journal of Eye Movement Research
|October 28, 2025
Summary
A new tablet-based eye movement test effectively diagnoses red-green colour vision deficiencies. This method shows high accuracy and offers a practical, accessible alternative to traditional diagnostic tools.
Area of Science:
- Ophthalmology
- Vision Science
- Medical Technology
Background:
- Colour vision deficiency (CVD) diagnosis traditionally relies on subjective tests.
- Existing methods can be time-consuming and require specialized equipment.
- There is a need for accessible and objective diagnostic tools.
Purpose of the Study:
- To evaluate a novel diagnostic test for colour vision deficiencies.
- The test utilizes reflexive eye movements captured by an unmodified tablet.
- To assess the efficacy of tablet-based eye-tracking for CVD diagnosis.
Main Methods:
- A cross-sectional study involved 33 participants (23 controls, 8 deuteranopes, 2 protanopes).
- Eye movements were recorded using an Apple iPad Pro's eye-tracking feature in response to visual stimuli.
- Automated analysis estimated the red-green equiluminant point and equivalent luminance contrast.
Main Results:
- The novel test achieved a sensitivity of 90.0% and a specificity of 91.30% in classifying colour vision status.
- Estimates of the red-green equiluminant point and equivalent luminance contrast correlated with CVD diagnosis.
- The method demonstrated high accuracy in differentiating between normal and deficient colour vision.
Conclusions:
- The tablet-based eye movement test is effective for diagnosing colour vision deficiencies.
- This novel approach presents a practical and cost-effective alternative to conventional diagnostic methods.
- The test's objectivity and ease of use enhance accessibility, particularly for pediatric populations.
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