The Impact of Vision Loss on Naturalistic Behavior and Navigation in Virtual Reality
University of Rochester
Summary
The purpose of this research is to better understand the impact of cortically-induced blindness (CB) and the compensatory strategies subjects with this condition may develop on naturalistic behaviors, specifically, driving. Using a novel Virtual Reality (VR) program, the researchers will gather data on steering behavior in a variety of simulated naturalistic environments. Through the combined use of computer vision, deep learning, and gaze-contingent manipulations of the visual field, this work will test the central hypothesis that changes to visually guided steering behaviors in CB are a consequence of changes to the visual sampling and processing of task-related motion information (i.e., optic flow).
Eligibility
- Age range
- 21–75 years
- Sex
- All
- Healthy volunteers
- Yes
Cortically Blind Group: Inclusion Criteria: * Residents of the United States or Canada * Presence of one-sided stroke or stroke-like damage to primary visual cortex or its immediate afferent white matter sustained within the specified age range of 21 - 75 years (verified by MRI and/or CT scans) * Reliable visual field defects in both eyes (homonymous defects) as measured by Humphrey or equivalent perimetry. * Willing, able, and competent to provide their own informed consent * Cognitively able, responsible to understand written and oral instructions in English * Emmetropic or else wear corre…
Interventions
- OtherVirtual Reality Driving Task
Participants will steer a virtual car with the goal of staying in the center of a single-lane roadway while traveling at a constant speed of 26.6 m/s (approximately 60 miles/hr). The roadway alternates between a series of straights and turns of different radii to both the left and the right. This allows for careful control of task difficulty, and for the repeated presentation of specific conditions across multiple "trials" (i.e. turns in the road) in a randomized order. In addition, the density of the visual texture elements in the virtual environment that provide optic flow (OF) signal is also varied. The low-density OF condition has no road texture or foliage, and only the solid road edges on a flat-black ground plane. The medium-density OF condition has sparse textural elements distributed on the ground plane, and the high-density OF condition has high density road texture and a canopy of road-side trees that provide texture extending far above the horizon.
Location
- University of RochesterRochester, New York