Evidence map›Paper›PMID 37140911›Full record

SynthesisJournal of vision2023

A systematic review of extended reality (XR) for understanding and augmenting vision loss.

Justin Kasowski, Byron A Johnson, Ryan Neydavood, Anvitha Akkaraju, Michael Beyeler

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of vision, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. 'Such a lot of bother': Qualitative results of a home trial of a wearable electronic vision enhancement system for people with age-related macular degeneration.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Trial
  2. Article
  3. Article
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  7. Article
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  9. Aligning Visual Prosthetic Development With Implantee Needs.Translational vision science & technology · 2024
    Article
  10. Aligning visual prosthetic development with implantee needs.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Article
  12. Towards aJournal of neural engineering · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Justin KasowskiGraduate Program in Dynamical Neuroscience, University of California, Santa Barbara, CA, USA.
Byron A JohnsonDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, CA, USA.
Ryan NeydavoodDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, CA, USA.
Anvitha AkkarajuDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, CA, USA.
Michael BeyelerDepartment of Psychological & Brain Sciences, University of California, Santa Barbara, CA, USA.

Funding

Hand-held confocal line-scanner for intrasurgical useR44CA093106 · NCI · LUCID, INC. · PI EASTMAN, JAY M · 2003 to 2005
$2.2M
Towards a Smart Bionic Eye: AI-Powered Artificial Vision for the Treatment of Incurable BlindnessDP2LM014268 · NLM · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BEYELER, MICHAEL · 2022 to 2025
$2.0M
Hand-held confocal microscope for clinical/surgical useR43CA093106 · NCI · LUCID TECHNOLOGIES, INC. · PI RAJADHYAKSHA, MILIND · 2001 to 2001
$100k
NCI NIH HHS R43 CA093106NCI NIH HHS R44 CA093106NLM NIH HHS DP2 LM014268
6 · The paper itself

Abstract

Over the past decade, extended reality (XR) has emerged as an assistive technology not only to augment residual vision of people losing their sight but also to study the rudimentary vision restored to blind people by a visual neuroprosthesis. A defining quality of these XR technologies is their ability to update the stimulus based on the user's eye, head, or body movements. To make the best use of these emerging technologies, it is valuable and timely to understand the state of this research and identify any shortcomings that are present. Here we present a systematic literature review of 227 publications from 106 different venues assessing the potential of XR technology to further visual accessibility. In contrast to other reviews, we sample studies from multiple scientific disciplines, focus on technology that augments a person's residual vision, and require studies to feature a quantitative evaluation with appropriate end users. We summarize prominent findings from different XR research areas, show how the landscape has changed over the past decade, and identify scientific gaps in the literature. Specifically, we highlight the need for real-world validation, the broadening of end-user participation, and a more nuanced understanding of the usability of different XR-based accessibility aids.

Indexed as

BlindnessPersons with Visual DisabilitiesHumansVision Disorders

Identifiers

PMID37140911
PMCPMC10166121

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.