New, Efficient Tests That Map Both Central and Peripheral Vision

该项目旨在开发一种新的组合方法，通过单一测试来量化中央视觉和周边视觉。目前用于测试远周边视觉的方法效率不高并且不是完全自动化的。然而，周边视觉对于涉及导航和危险规避的任务（如驾驶）非常重要。该项目旨在发明和测试采样和测量视觉空间范围的新方法。预期的算法将比当前的测试更准确、更高效，将适合老年人，并将能够随时评估职业任务的视力。

This project seeks to develop a new, combined approach for quantifying both central and peripheral vision with a single test. Current methods for testing far peripheral vision are not efficient and not fully automated. Yet peripheral vision is important for tasks involving navigation and hazard avoidance such as driving. The project intends to invent and test new approaches to sampling and measuring the spatial extent of vision. The anticipated algorithms will be more accurate and efficient than current tests, will be suitable for older adults, and will enable ready assessment of vision for occupational tasks.