Visual attention measures predict pedestrian detection in central field loss: a pilot study.

Area of Science:

• Ophthalmology
• Neuroscience
• Human Factors Engineering

Background:

• Effective visual attention is crucial for safe mobility, especially in dynamic environments.
• Individuals with central field loss (CFL) face challenges in utilizing residual vision for tasks like hazard detection.
• Assessing visual attention abilities can inform strategies to improve mobility for visually impaired populations.

Purpose of the Study:

• To evaluate if dynamic attention (multiple object tracking; MOT) and static attention (Useful Field of View; UFOV) tests predict the ability of people with CFL to detect pedestrian hazards in simulated driving.
• To compare the performance of individuals with CFL and normally-sighted drivers on attention tasks and a simulated driving hazard detection task.

Main Methods:

• 11 participants with bilateral CFL and 11 normally-sighted controls completed computer-based MOT and UFOV tasks.
• Performance metrics included log speed threshold for MOT and increased presentation duration for UFOV subtests.
• Participants drove in a simulator, reacting to simulated pedestrians, with the proportion of timely reactions recorded.

Main Results:

• Participants with CFL performed worse on UFOV and MOT tasks and had a lower proportion of timely reactions in the simulator compared to controls.
• For CFL participants, better performance on MOT and UFOV attention tasks correlated with a higher proportion of timely pedestrian reactions.
• Positive correlations were also found between timely reactions and better contrast sensitivity and smaller scotomas in the CFL group.

Conclusions:

• Brief, laboratory-based tests of visual attention (MOT and UFOV) show potential as useful measures of functional visual ability for individuals with CFL.
• These attention tests may predict performance in more complex mobility-related tasks, such as detecting hazards in simulated driving.
• Findings support the use of attention-based assessments to understand and potentially enhance the mobility of visually impaired individuals.