Evidence map›Paper›PMID 42453443›Full record

ArticleFrontiers in psychology2026

Improving filter recommendations: the role of individual light sensitivity in ecological conditions.

Sarah Marié, Chloé Moger, Romain Brasselet

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah MariéResearch & Foresight, Global Lens Innovation, EssilorLuxottica, Paris, France.
Chloé MogerResearch & Foresight, Global Lens Innovation, EssilorLuxottica, Paris, France.
Romain BrasseletResearch & Foresight, Global Lens Innovation, EssilorLuxottica, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigates the optimal transmittance settings for discomfort glare filters under ecological outdoor conditions, accounting for individual light sensitivity and varying light conditions. The objective is to guide the personalization of sunglass transmittance to enhance visual comfort in various outdoor environments. Methods: Twenty-eight participants (18 women and 10 men, aged 18-61) were equipped with electrochromic glasses with a visible light transmittance ranging from 80% to 5%. For each participant, preferred transmittance was assessed in three light conditions (facing the sun, back to the sun, and in the shade) using three methods (clearest-to-dark, darkest-to-clear, and manual settings). Individual light sensitivity was quantified using the Eye Resistance Score (ERS) measured by the Lumiz 100™ device. A logistic model was designed to predict the optimal transmittance settings. Results: A total of 1,530 transmittance settings were recorded. Illuminance, method, and light sensitivity (ERS) all significantly contributed to the model predicting optimal transmittance. Less sensitive participants required category 2 filters (43-18% transmittance) for high illuminations, while more sensitive participants needed category 4 filters (8-3% transmittance) under equivalent light conditions for direct sunlight. Conclusion: Personalized filter recommendations based on individual light sensitivity and outdoor conditions can enhance visual comfort. This study highlights the importance of considering individual variability in light sensitivity to optimize discomfort glare protection. Further research in diverse environments and lighting conditions could help refine these recommendations.

Indexed as

discomfort glarefilterslight sensitivitymodeloutdoor

Identifiers

PMID42453443
PMCPMC13365335

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.