Vision Loss Impact on Navigation in Virtual Reality

Sponsor
University of Rochester (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06047717
Collaborator
Rochester Institute of Technology (Other)
40
1
2
36
1.1

Study Details

Study Description

Brief 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).

Study Design

Study Type:
Interventional
Anticipated Enrollment :
40 participants
Allocation:
Non-Randomized
Intervention Model:
Parallel Assignment
Masking:
None (Open Label)
Primary Purpose:
Basic Science
Official Title:
The Impact of Vision Loss on Naturalistic Behavior and Navigation in Virtual Reality
Anticipated Study Start Date :
Oct 1, 2023
Anticipated Primary Completion Date :
Oct 1, 2026
Anticipated Study Completion Date :
Oct 1, 2026

Arms and Interventions

Arm Intervention/Treatment
Experimental: Virtual Reality (VR) Driving Task: Cortically Blind Cohort

Persons who have sustained cortical blindness will perform a driving task in VR, in which they must steer through a series of parameterized turns while maintaining their virtual vehicle centered between the two red lines delineating the "road" edge.

Other: Virtual 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.

Experimental: Virtual Reality (VR) Driving Task: Healthy Control Cohort

Healthy controls with no vision loss will perform a driving task in VR, in which they must steer through a series of parameterized turns while maintaining their virtual vehicle centered between the two red lines delineating the "road" edge.

Other: Virtual 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.

Outcome Measures

Primary Outcome Measures

  1. Virtual Reality (VR) Lane Deviation / Offset [Day 0]

    Virtual lane offset is a measure of driving accuracy, which involves computing the divergence (in virtual meters) from the center of the single-lane virtual roadway, relative to the position of the driver's head and averaged over the duration of each turn. The researchers will compare the variance of lane offset in virtual meters between Cortically Blind (CB) and control subjects.

Eligibility Criteria

Criteria

Ages Eligible for Study:
21 Years to 75 Years
Sexes Eligible for Study:
All
Accepts 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 corrective contact lenses inside the virtual reality headset

Exclusion Criteria:
  • Those who have never driven or earned a drivers' license

  • Past or present ocular disease interfering with visual acuity

  • Best corrected visual acuity (BCVA) worse than 20/40 in either eye

  • Sustained damage to the dorsal lateral geniculate nucleus

  • Presence of diffuse, whole-brain degenerative processes

  • Presence of brain damage deemed by study staff to potentially interfere with outcome measures

  • History of traumatic brain injury

  • Documented history of drug/alcohol abuse

  • Diagnosis of cognitive or seizure disorders

  • Diagnosis of one-sided attentional neglect

Control Group:
Inclusion Criteria:
  • Normal or corrected-to-normal vision, who are between the ages of 21 and 75 years of age, roughly matched to the age of CB subjects enrolled above

  • Competent and responsible, as determined by the Principal Investigator

  • Willing, able, and competent to provide their own informed consent

  • Normal cognitive abilities, be able to understand written and oral instructions in English

  • Emmetropic or else wear corrective contact lenses inside the virtual reality headset

Exclusion Criteria:
  • Subjects who have never driven or earned a drivers' license

  • BCVA worse than 20/40 in either eye

  • Presence of vision loss from ocular diseases or disorders

  • Presence of a visual field defect

  • Inability to wear corrective contact lenses inside the virtual reality helmet if required to see clearly

  • Subjects with a history of neurological disorders

  • Subjects with a history of TBI

  • Persons who lack the competence or are otherwise unable to perform the visual testing as directed.

Contacts and Locations

Locations

Site City State Country Postal Code
1 University of Rochester Rochester New York United States 14642

Sponsors and Collaborators

  • University of Rochester
  • Rochester Institute of Technology

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Krystel Huxlin, James V. Aquavella Professor of Ophthalmology, Associate Chair for Research, Dept. Ophthalmology, University of Rochester
ClinicalTrials.gov Identifier:
NCT06047717
Other Study ID Numbers:
  • 00008669
First Posted:
Sep 21, 2023
Last Update Posted:
Sep 26, 2023
Last Verified:
Sep 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Krystel Huxlin, James V. Aquavella Professor of Ophthalmology, Associate Chair for Research, Dept. Ophthalmology, University of Rochester
Additional relevant MeSH terms:

Study Results

No Results Posted as of Sep 26, 2023