Evidence map›Paper›PMID 40133323›Full record

ArticleScientific reports2025

Analyzing display photometric features through time-dependent dynamics of accommodative responses and ocular imaging quality.

Jianqi Cai, Shanshan Zeng, Ya Guo, Wentao Hao

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Jianqi CaiLaboratory of Visual Health and Safety Protection, National Institute of Standardization, Beijing, 100191, China. caijq@cnis.ac.cn.
Shanshan ZengLaboratory of Visual Health and Safety Protection, National Institute of Standardization, Beijing, 100191, China.
Ya GuoLaboratory of Visual Health and Safety Protection, National Institute of Standardization, Beijing, 100191, China.
Wentao HaoKunshan Company of Human Factor Engineering Research and Development Center, Suzhou, 215333, China.

Funding

National Key Research and Development Program 2023YFF0613001Presidential Foundation of China National Institute of Standardization 512024Y-11446
6 · The paper itself

Abstract

To optimize screen quality for a better and healthier visual experience, it is essential to understand how photometric parameters impact ocular physiological parameters. However, the relationship between these photometric and physiological parameters has still not been clearly defined. In this study, time series data of accommodative response and ocular imaging quality at various time points during screen viewing were analyzed, examining different screen photometric parameters. The concept of "tolerance duration" based on these time series curves was introduced. The findings indicate that accommodative response is sensitive to screen brightness, while ocular imaging quality is affected by spectral power distribution. The mathematic models of time-dependent dynamics for both accommodative response and ocular imaging quality were developed, consisting of positive and negative forces. The accommodative response displayed an exponential decay and linear increase pattern, whereas the ocular imaging quality corresponded more closely to sigmoid functions. This innovative model could broaden the understanding of ocular physiological changes during screen use. Additionally, it may offer useful insights for optimizing screen photometric parameters and assist in monitoring ocular responses in clinical research.

Indexed as

Accommodation, OcularPhotometryAdultFemaleHumansMaleModels, TheoreticalTime FactorsYoung AdultAccommodative responseOcular imaging qualityScreen qualityTime-dependent dynamicsTolerance duration

Identifiers

PMID40133323
PMCPMC11937438

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Registered trials

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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.