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Related Experiment Video

Updated: Jun 23, 2026

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
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A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

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Exploring eye-hand coordination in central field loss with virtual reality.

Jade Guénot1, Preeti Verghese1

  • 1Smith-Kettlewell Eye Research Institute.

Research Square
|June 22, 2026
PubMed
Summary

Individuals with central field loss (CFL) showed improved depth perception and gaze control in a virtual reality task when using binocular vision. This suggests compensatory strategies aid eye-hand coordination in CFL patients.

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Human-Computer Interaction

Background:

  • Eye-hand coordination depends on depth perception and gaze control.
  • Central field loss (CFL) significantly impairs these functions.
  • Virtual reality (VR) offers a controlled environment to study visual impairments.

Purpose of the Study:

  • To investigate the impact of CFL on gaze and hand control during a dynamic 3D task.
  • To compare binocular versus monocular performance in CFL patients and controls.
  • To explore compensatory eye-hand strategies in CFL.

Main Methods:

  • A dynamic 3D butterfly-catching task was developed using immersive VR.
  • Seven CFL patients and 13 controls performed eye-tracking, hand-tracking, and catching tasks.

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Last Updated: Jun 23, 2026

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  • Conditions included binocular, monocular, and simulated scotoma (controls) viewing.

    • Main Results:

    • Binocular viewing improved catching times and gaze accuracy in both groups, with a greater benefit for CFL patients.
    • Motor engagement during catching refined depth estimates with binocular disparity.
    • Monocular hand-tracking in depth was significantly impaired in CFL patients.

    Conclusions:

    • CFL patients exhibit compensatory eye-hand strategies, particularly benefiting from binocular vision.
    • Binocular disparity is crucial for accurate depth tracking and motor control in CFL.
    • VR provides valuable insights into visual compensation mechanisms for central field loss.