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Democratizing Health Care in the Metaverse: How Video Games can Monitor Eye Conditions Using the Vision Performance

Yusuf Ahmed1, Mohan Reddy2,3, Jacob Mederos2,3

  • 1Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.

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Summary
This summary is machine-generated.

Video games can assess visual function using the Vision Performance Index (VPI). While overall VPI scores showed no significant differences, specific subcomponent scores revealed variations in patients with diabetic retinopathy and glaucoma.

Keywords:
Augmented realityEsportsHuman-machine interfacesMetaverseOcular diseaseVideo games

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Area of Science:

  • Ophthalmology and Digital Health
  • Human-Computer Interaction in Healthcare

Background:

  • Digital media offers opportunities for health and wellness applications.
  • The Vision Performance Index (VPI) evaluates visual function using psychometric data across five domains.
  • Novel methods are needed to assess visual function in patients with ocular pathologies.

Purpose of the Study:

  • To describe a novel method for evaluating holistic visual function.
  • To utilize video game-derived Vision Performance Index (VPI) scores in patients with specific ocular pathologies.

Main Methods:

  • Prospective comparative analysis involving patients with dry eye, glaucoma, cataract, diabetic retinopathy (DR), age-related macular degeneration, and healthy controls.
  • Integration of Vizzario Inc software development kit into two video games (Balloon Pop, Picture Perfect) for VPI score generation.
  • Participants played video games, and VPI scores were compiled and compared across groups.

Main Results:

  • Vision Performance Index (VPI) scores were generated from 93 participants across various ocular disease groups and healthy controls.
  • The VPI subcomponent 'reaction accuracy' was significantly higher in diabetic retinopathy (DR) patients compared to controls.
  • The VPI subcomponent 'color detection' was significantly lower in DR and glaucoma patients versus controls. Psychophysical measures also showed significant differences.

Conclusions:

  • Vision Performance Index (VPI) scores can be derived from video game interactions in ocular disease populations.
  • VPI subcomponent and psychophysical scores may offer utility in monitoring specific ocular diseases.
  • Larger-scale studies are required to validate the VPI as a clinical tool.