Evidence map›Paper›PMID 39897867›Full record

ArticleHeliyon2025

Natural light adaptive context lighting system that provides a lighting environment tailored to the User's objectives.

Seung-Taek Oh, Jae-Hyun Lim

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Effect of polarized sunglasses on visual functions.International journal of ophthalmology · 2025
    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.

Seung-Taek OhSmart Natural Space Research Center, Kongju National University, Cheonan-daero 1223-24, Cheonan-si, 31080, Chungcheongnam-do, South Korea.
Jae-Hyun LimDepartment of Computer Science & Engineering, Kongju National University, Cheonan-daero 1223-24, Cheonan-si, 31080, Chungcheongnam-do, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As modern people spend more time indoors, efforts continue to create a beneficial indoor lighting environment for each user's activity. A suitable lighting environment improves efficiency and concentration, but if not, it has adverse effects such as impeding learning. Recently, research has been active on lighting technology that provides CCT suitable for illuminance and the type of use. However, for an indoor environment created by incoming natural light and artificial light, it is difficult to provide and maintain CCT suitable for the user's activity type, and related research is also lacking. Therefore, in this paper, we propose a natural light adaptive context lighting system that provides a lighting environment tailored to the user's purpose even when an uneven lighting environment is created by incoming natural light. The proposed system measures the light characteristics of each indoor area created by natural and artificial light. Then, it adjusts the incoming natural light by controlling the blinds based on the illuminance of the window. Afterward, individual control of LED lighting is performed to provide a standard CCT for rendering the target lighting environment, creating a lighting environment for each objective, classified into general office work, low-intensity work, and high-intensity work. In the performance experiment, a lighting environment for each aim is created within a 5 % error range despite the influence of continuously changing natural light throughout the day.

Indexed as

Context lightingLighting environmentLighting systemNatural light

Identifiers

PMID39897867
PMCPMC11787677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.