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In this study, the study team utilize virtual reality (VR) to simulate visual impairments of different types and severity in healthy subjects. The platform implements three of the most widespread forms of visual impairment in the United States (US): age-related macular degeneration (AMD), diabetic retinopathy (DR), and glaucoma, each with three levels of severity, (mild, moderate, and severe). At present, glaucoma is further developed toward a multidimensional visual impairment simulation.
The platform is utilized: i) to provide a safe, controllable, and repeatable set of environments for development and preliminary testing of electronic travel aids (ETAs) in a variety of conditions (i.e., using the ETA to navigate in the immersed environment); and ii) to equip blind and low vision (BVI) professionals, inclusive of orientation and mobility (O&M) instructors, with a controlled, tunable training platform for skill/capacity building, assessment, and refinement of O&M techniques, as well as visually impaired trainees with a safe and immersive environment to improve their O&M skills and learn novel techniques. Two sets of hypothesis-driven experiments are proposed to assess the feasibility of the platform with respect to these two objectives.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| First Set of Experiments | Experimental | The anticipated number of participants is 336. All participants have healthy vision. |
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| Second Set of Experiments | Experimental | The anticipated number of participants is 100. Of these, 80 participants have healthy vision, and 20 have glaucoma. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| In-House Developed VR Platform - AMD, DR, Glaucoma | Other | Participants will conduct experiments using commercial VR headsets and controllers. Visual impairments will be systematically simulated in VR. There are three visual impairment simulations (AMD, DR, and glaucoma) at three levels of severity (mild, moderate, or severe). Symptoms' simulation tools include a gaussian blur shader, distortion shader, and a culling mask with a gray spot in the middle. |
| Measure | Description | Time Frame |
|---|---|---|
| Average time to complete the trial | 1 Day of Intervention | |
| Average number of obstacle collisions during the trial | 1 Day of Intervention | |
| Average travel time | 1 Day of Intervention | |
| Average distance traveled by the participant | 1 Day of Intervention | |
| Preferred walking speed | 1 Day of Intervention | |
| Orientation | Orientation is measured through the time average of a polarization index, measured as the cosin of the angle between the direction of the instantaneous velocity vector and the straight line linking the instantaneous position of the participant and the following waypoint. | 1 Day of Intervention |
| Number of instances in which the participant stop for more than 2 seconds | 1 Day of Intervention | |
| Total time spent during stops of more than 2 seconds | 1 Day of Intervention | |
| Average time it takes to understand how to interact with the system and run the simulation of the bus ride | 1 Day of Intervention |
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Inclusion Criteria (patients with visual impairment)
Inclusion Criteria (healthy controls)
Exclusion Criteria (patients with visual impairment & healthy controls)
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| Name | Affiliation | Role |
|---|---|---|
| John-Ross Rizzo, MD | NYU Langone Health | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| NYU Langone Health | New York | New York | 10016 | United States |
Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices) will be available upon reasonable request.
Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.
The investigator who proposed to use the data will have access to the data upon reasonable request. Requests should be directed to Johnross.rizzo@nyulangone.org. To gain access, data requestors will need to sign a data access agreement.
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| In-House Developed VR Platform - Glaucoma | Other | In the second set of experiments, a multidimensional visual impairment simulation of a single pathology (glaucoma) will be used at three levels of severity (mild, moderate, or severe). The post-processing package to simulate includes glare, difficulty in light, change adaptation, ambient occlusion, visual clutter, and overall blurred effect. The shader graph package will be used to create a distortion localized on assets surfaces only. |
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| ID | Term |
|---|---|
| D014786 | Vision Disorders |
| D008268 | Macular Degeneration |
| D003930 | Diabetic Retinopathy |
| D005901 | Glaucoma |
| ID | Term |
|---|---|
| D012678 | Sensation Disorders |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D005128 | Eye Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012162 | Retinal Degeneration |
| D012164 | Retinal Diseases |
| D003925 | Diabetic Angiopathies |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D048909 | Diabetes Complications |
| D003920 | Diabetes Mellitus |
| D004700 | Endocrine System Diseases |
| D009798 | Ocular Hypertension |
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