Simulating Visibility and Reading Performance in Low Vision.

Area of Science:

• Ophthalmology
• Human-Computer Interaction
• Visual Science

Background:

• Low vision significantly impairs text visibility and reading.
• Evaluating digital text accessibility for low-vision readers requires valid simulation tools.
• Current simulation methods may not accurately reflect real-world low-vision challenges.

Purpose of the Study:

• To assess the validity of a digital low-vision simulation.
• To determine if the simulation can replicate text visibility and reading performance of individuals with low vision.

Main Methods:

• Modeled low vision using contrast sensitivity functions (CSFs) for acuity and contrast reduction.
• Applied digital filtering with CSFs to vision charts and reading tests (MNREAD).
• Compared reading performance (acuity, critical print size, speed) of normally sighted individuals under simulated low vision with actual low-vision patients.

Main Results:

• The simulation effectively reduced acuity and contrast sensitivity in normally sighted participants.
• Simulated low vision replicated reading acuity and critical print size for low-vision groups.
• Maximum reading speed was slightly faster in simulated low vision compared to actual low-vision groups.

Conclusions:

• A digital low-vision simulation using visual acuity and contrast sensitivity measures is effective.
• The simulation provides reliable estimates of reading performance.
• It can be used to evaluate digital text accessibility across various low-vision conditions.