September 2023
Volume 23, Issue 11
Open Access
Optica Fall Vision Meeting Abstract  |   September 2023
Poster Session: Comparison of Dynamic Visual Acuity Assessments in Head-Mounted Technology and Traditional Laptop-based Method
Author Affiliations
  • Nasif Zaman
    Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, United States
  • Ethan Waisberg
    University College Dublin School of Medicine, Belfield, Dublin, Ireland
  • Joshua Ong
    Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States
  • Phani Paladugu
    Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
  • Sharif Amit Kamran
    Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, United States
  • Andrew G. Lee
    Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas, United States
    The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, Texas, United States
    Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, New York, United States
    Department of Ophthalmology, University of Texas Medical Branch, Galveston, Texas, United States
    University of Texas MD Anderson Cancer Center, Houston, Texas, United States Texas A&M College of Medicine, Texas, United States
    Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States
  • Alireza Tavakkoli
    Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, Nevada, United States
Journal of Vision September 2023, Vol.23, 80. doi:https://doi.org/10.1167/jov.23.11.80
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      Nasif Zaman, Ethan Waisberg, Joshua Ong, Phani Paladugu, Sharif Amit Kamran, Andrew G. Lee, Alireza Tavakkoli; Poster Session: Comparison of Dynamic Visual Acuity Assessments in Head-Mounted Technology and Traditional Laptop-based Method. Journal of Vision 2023;23(11):80. https://doi.org/10.1167/jov.23.11.80.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

An impairment in dynamic visual acuity (DVA) has been observed in astronauts shortly after they return to Earth.1 These transitional effects may lead to safety risks during interplanetary spaceflight. At this time, functional vision assessments are performed via laptop onboard the International Space Station. However, DVA is not performed as a standard assessment, and optimization of traditional assessments may aid in more efficient and frequent testing. As part of our group’s NASA-funded head-mounted visual assessment system to detect subtle vision changes in long-duration spaceflight2, we present a method to measure DVA in virtual reality. An early validation study was conducted with 5 subjects comparing our novel assessment with a traditional laptop-based test. All participants had a best correctable visual acuity of 20/20, had no past ocular history, balancing disorders, or neurological history. Our DVA assessment framework was built in UnrealEngine 4. The early validation study confirmed that our VR-based DVA assessment performed similarly to traditional laptop-based test (0.485 and 0.525 LogMar respectively, Pearson Correlation = 0.911). A Bland-Altman plot and analysis demonstrated that our DVA assessment data fell within the upper and lower limits of agreement. Future studies are required to further validate this technology; however, these early results showcase VR-based DVA assessment as a promising alternative to laptop-based methods.

Footnotes
 Funding: Funding: NASA Grant [80NSSC20K183]: A Non-intrusive Ocular Monitoring Framework to Model Ocular Structure and Functional Changes due to Long-term Spaceflight.
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