Effect of glaucoma on eye movement patterns and laboratory-based hazard detection ability

Area of Science:

• Ophthalmology
• Gerontology
• Human Factors Engineering

Background:

• Elevated crash rates in older drivers with glaucoma are a significant concern.
• Timely hazard detection is crucial for driving safety, but this ability in glaucoma patients is under-researched.

Purpose of the Study:

• To investigate eye movement patterns during hazard detection in older drivers with glaucoma.
• To identify visual predictors of performance on a hazard detection task in this population.

Main Methods:

• Compared 30 older drivers with glaucoma to 25 age-matched controls.
• Assessed visual functions including visual acuity, contrast sensitivity, visual fields, useful field of view (UFoV), and motion sensitivity.
• Recorded eye movements during a computerized Hazard Perception Test (HPT) to measure hazard response times.

Main Results:

• Glaucoma drivers had slower hazard response times (0.42s delay) and altered eye movements (smaller saccades, delayed fixation).
• Larger saccades correlated with faster responses in the glaucoma group, suggesting a compensatory mechanism.
• Motion sensitivity, UFoV, and worse-eye mean deviation (MD) predicted hazard response times across both groups.

Conclusions:

• Older drivers with glaucoma exhibit delayed hazard response times and distinct eye movement patterns.
• Compensatory strategies, such as increased saccade size, may be employed by glaucoma drivers to improve performance.
• Visual factors like motion sensitivity and UFoV are critical for hazard detection in older drivers, particularly those with glaucoma.