@conference{driving 28458, author = {Alex R Bowers, Karen Jeng, Eli Peli, Laura Werner, Amy Doherty}, title = {Video Test to Evaluate Detection Performance of Drivers with Hemianopia: Preliminary Results}, volume = {7}, year = {2013}, url = {https://pubs.lib.uiowa.edu/driving/article/id/28458/}, issue = {2013}, doi = {10.17077/drivingassessment.1496}, abstract = {<p>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.</p>}, month = {6}, pages = {248-254}, publisher={University of Iowa}, journal = {Driving Assessment Conference} }