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Updated: May 25, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
Published on: July 21, 2020
Important areas of the central binocular visual field for daily functioning in the visually impaired
Daryl R Tabrett1, Keziah Latham
1Department of Vision and Hearing Sciences, Vision and Eye Research Unit (VERU), Anglia Ruskin University, Cambridge, UK. daryl.tabrett@anglia.ac.uk
Purpose:
To determine the areas of the central binocular visual field which correspond best with self-reported vision related activity limitations (VRAL) in individuals with visual impairment using a clinically relevant and accessible technique.
Methods:
One hundred participants with mixed visual impairment undertook binocular threshold visual field testing using a Humphrey 30-2 SITA Fast program. The Activity Inventory (AI) was administered to assess overall, mobility related and reading related self-reported VRAL as part of a face-to-face clinical interview. Different eccentricities of the binocular field (central 5, 5-10, and 10-30°) were compared to self-reported VRAL in bivariate analyses and further explored using multivariate analyses.
Results:
All areas of the binocular visual field were significantly associated with self-reported VRAL in bivariate analyses, with greater field loss associated with increased VRAL (p < 0.001). Multivariate analyses identified that function of the central 5-10° best predicted overall self-reported VRAL, and function of the central 5° (especially the right-hand-side) and the central 10-30° (especially 10-20°) best predicted self-reported VRAL in reading and mobility tasks, respectively.
Conclusions:
The results highlight the association between central binocular visual fields and self-reported VRAL in people with visual impairment. Central binocular fields can be measured using a widely available threshold test in order to understand the likely functional limitations of those with vision loss, particularly in mobility tasks. Self-reported VRAL can be estimated using the regression equations and graphs provided and difficulty levels in specific tasks can be determined.
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