Evidence map›Paper›PMID 35856703›Full record

ArticleAugmented Humans 20222022

Immersive Virtual Reality Simulations of Bionic Vision.

Justin Kasowski, Michael Beyeler

Abstract read
In one paragraph

Article in Augmented Humans 2022, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Static or Temporal? Semantic Scene Simplification to Aid Wayfinding in Immersive Simulations of Bionic Vision.Proceedings of the ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology · 2025
    Article
  7. Article
  8. Article
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  10. Towards aJournal of neural engineering · 2022
    Article
  11. Article
  12. The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality.Proceedings of the ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology
    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

2 authors.

Justin KasowskiUniversity of California, Santa Barbara, USA.
Michael BeyelerUniversity of California, Santa Barbara, USA.

Funding

Virtual prototyping for retinal prosthesis patientsR00EY029329 · NEI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BEYELER, MICHAEL · 2020 to 2022
$633k
Virtual prototyping for retinal prosthesis patientsK99EY029329 · NEI · UNIVERSITY OF WASHINGTON · PI BEYELER, MICHAEL · 2018 to 2019
$245k
NEI NIH HHS K99 EY029329NEI NIH HHS R00 EY029329
6 · The paper itself

Abstract

Bionic vision uses neuroprostheses to restore useful vision to people living with incurable blindness. However, a major outstanding challenge is predicting what people "see" when they use their devices. The limited field of view of current devices necessitates head movements to scan the scene, which is difficult to simulate on a computer screen. In addition, many computational models of bionic vision lack biological realism. To address these challenges, we present VR-SPV, an open-source virtual reality toolbox for simulated prosthetic vision that uses a psychophysically validated computational model to allow sighted participants to "see through the eyes" of a bionic eye user. To demonstrate its utility, we systematically evaluated how clinically reported visual distortions affect performance in a letter recognition and an immersive obstacle avoidance task. Our results highlight the importance of using an appropriate phosphene model when predicting visual outcomes for bionic vision.

Indexed as

retinal implantsimulated prosthetic visionvirtual reality

Identifiers

PMID35856703
PMCPMC9289996

What OpenQuestion holds

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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.