Evidence map›Paper›PMID 37314789›Full record

ArticleJournal of vision2023

Calibration of head mounted displays for vision research with virtual reality.

Nasif Zaman, Prithul Sarker, Alireza Tavakkoli

Open access · goldAbstract read
In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Nasif ZamanDepartment of Computer Science and Engineering, University of Nevada, Reno, NV, USA.
Prithul SarkerDepartment of Computer Science and Engineering, University of Nevada, Reno, NV, USA.
Alireza TavakkoliDepartment of Computer Science and Engineering, University of Nevada, Reno, NV, USA.
University of Nevada, Reno · US

Funding

Virtual and Augmented Reality Interaction CoreP30GM145646 · NIGMS · UNIVERSITY OF NEVADA RENO · PI MICHAEL A WEBSTER · 2022 to 2026
$6.8M
NIGMS NIH HHS P30 GM145646
6 · The paper itself

Abstract

Immersion in virtual environments is an important analog for scientists. Situations that cannot be safely organized in the real world are being simulated virtually to observe, evaluate, and train aspects of human behavior for psychology, therapy, and assessment. However, creating an immersive environment using traditional graphics practices may create conflict with a researcher's goal of evaluating user response to well-defined visual stimuli. Standard computer monitors may display color-accurate stimuli, but it is generally viewed from a seating position, where the participant can see real-world visual context. In this article, we propose a novel means to allow vision scientists to exert finer control over the participants visual stimuli and context. We propose and verify a device-agnostic approach to color calibration by analyzing display properties such as luminance, spectral distribution, and chromaticity. We evaluated five different head-mounted displays from different manufacturers and showed how our approach produces conforming visual outputs.

Indexed as

Smart GlassesVirtual RealityCalibrationHumans

Identifiers

PMID37314789
PMCPMC10278547
OpenAlexW4380538610

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.