Conference Proceeding
Authors: Alex R Bowers (Schepens Eye Research Institute, Boston, MA) , Karen Jeng (UMDNJ-Robert Wood Johnson Medical School, Piscataway, NJ) , Eli Peli (Schepens Eye Research Institute, Boston, MA) , Laura Werner (New England College of Optometry, Boston, MA) , Amy Doherty (Schepens Eye Research Institute, Boston, MA)
The ability of individuals with hemianopia to compensate for their vision impairment by eye/head scanning to detect hazards in their non-seeing (blind) hemifield varies widely in both simulator and on-road tests. Conventional visual fields tests do not reflect this variability, while simulator and on-road tests are time-consuming and expensive. We therefore developed a simple, 15-minute video-based pedestrian detection test suitable for implementation on a desktop computer and monitor. The test was found to be sensitive to detection deficits in both hemianopia and quadranopia, and predictive of detection performance in a driving simulator. Our preliminary findings suggest that the test provides a simple method of measuring detection ability relevant to driving which may be useful both as a screening test and as an evaluation tool for rehabilitation devices and training.
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How to Cite: Bowers, A. , Jeng, K. , Peli, E. , Werner, L. & Doherty, A. (2013) “Video Test to Evaluate Detection Performance of Drivers with Hemianopia: Preliminary Results”, Driving Assessment Conference. 7(2013). doi: https://doi.org/10.17077/drivingassessment.1496