Evidence map›Paper›PMID 37917615›Full record

ArticlePloS one2023

Comparison of stereopsis thresholds measured with conventional methods and a new eye tracking method.

Lu Liu, Bo Yu, Lingxian Xu, Shiyi Wang, Lingzhi Zhao, Huang Wu

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Lu LiuDepartment of Optometry, The Second Hospital of Jilin University, Changchun, China.
Bo YuDepartment of Optometry, The Second Hospital of Jilin University, Changchun, China.
Lingxian XuDepartment of Optometry, The Second Hospital of Jilin University, Changchun, China.
Shiyi WangDepartment of Optometry, The Second Hospital of Jilin University, Changchun, China.
Lingzhi ZhaoDepartment of Optometry, The Second Hospital of Jilin University, Changchun, China.
Huang WuDepartment of Optometry, The Second Hospital of Jilin University, Changchun, China.ORCID 0000-0001-6167-5659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStereopsis is the ability to perceive depth using the slightly different views from two eyes. This study aims to conduct innovative stereopsis tests using the objective data outputted by eye tracking technology.

methodsA laptop and an eye tracker were used to establish the test system. Anaglyphic glasses were employed to execute the stereopsis assessment. The test symbol employed was devised to emulate the quantitative measurement component of the Random Dot 3 Stereo Acuity Test. Sub-pixel technology was used to increase the disparity accuracy of test pages. The tested disparities were: 160″, 100″, 63″, 50″, 40″, 32″, 25″, 20″, 16″, and 12.5″. The test was conducted at a distance of 0.65m. Conventional and eye tracking stereopsis assessments were conducted on 120 subjects. Wilcoxon signed-rank test was used to test the difference, while the Bland-Altman method was used to test the consistency between the two methods.

resultsThe Wilcoxon signed-rank test showed no significant difference between conventional and eye tracking thresholds of stereopsis (Z = -1.497, P = 0.134). There was a high level of agreement between the two methods using Bland- Altman statistical analysis (The 95 per cent limits of agreement were -0.40 to 0.47 log arcsec).

conclusionsStereoacuity can be evaluated utilizing an innovative stereopsis measurement system grounded in eye tracking technology.

Indexed as

Eye-Tracking TechnologyVision, BinocularDepth PerceptionHumansVision TestsVisual Acuity

Identifiers

PMID37917615
PMCPMC10621823

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.