Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predicting disease relapse in plaque psoriasis patients treated with secukinumab: A multicenter retrospective cohort study.

Chinese medical journal·2026
Same author

Atomic-Scale Charge Channelling in Poly(triazine imide) With Cooperative Ti-Ru Sites for Efficient Visible-Light CO<sub>2</sub> Reduction.

Angewandte Chemie (International ed. in English)·2026
Same author

Congener-Specific Associations of Per- and Polyfluoroalkyl Substances With Obesity-Metabolic Phenotypes: A Multimodel Analysis.

Obesity (Silver Spring, Md.)·2026
Same author

Leaf adhesion and insecticidal efficacy of a starch-chitosan based dual-network hydrogel pesticide delivery system.

International journal of biological macromolecules·2026
Same author

Prevalence and incidence of pemphigus in urban Chinese: A nationwide population-based study.

JAAD international·2026
Same author

An electrochemical sensing platform based on UiO@TATF COF/CB composites for the detection of nitrofurazone.

Analytical and bioanalytical chemistry·2026

Related Experiment Video

Updated: Dec 24, 2025

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.4K

Effect of Indoors Artificial Lighting Conditions on Computer-Based Learning Performance.

Rui Zhang1,2, Yalong Yang1,2, Qiansheng Fang1,2

  • 1Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei 230022, China.

International Journal of Environmental Research and Public Health
|April 12, 2020
PubMed
Summary

Artificial lighting conditions do not significantly impact attention in young adults during online learning. However, 300 lx at 4000 K is recommended for university settings to balance performance and energy efficiency.

Keywords:
EEG measurementattention statuslearning efficiencylighting conditions

More Related Videos

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.1K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.7K

Related Experiment Videos

Last Updated: Dec 24, 2025

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.4K
Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.1K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.7K

Area of Science:

  • Human-computer interaction
  • Cognitive science
  • Environmental psychology

Background:

  • Effective lighting is crucial for human performance, especially with the rise of computer-based learning.
  • Limited research exists on how artificial lighting affects learning in digital environments.
  • Assessing learning performance in online settings presents unique challenges.

Purpose of the Study:

  • To investigate the impact of various artificial lighting conditions on attention during online learning.
  • To identify optimal lighting parameters for educational settings based on performance and user feedback.
  • To establish a practical basis for adjusting lighting standards in university architectures.

Main Methods:

  • A within-subjects experiment was conducted involving a 45-minute online learning session.
  • Electroencephalogram (EEG) measurements were used to assess attention levels.
  • Five distinct lighting conditions were tested: (300 lx, 3000 K), (300 lx, 4000 K), (300 lx, 6500 K), (500 lx, 4000 K), and (1000 lx, 4000 K).
  • Post-experiment interviews were conducted to gather subjective feedback.

Main Results:

  • Attention levels in participants in their 20s were not significantly affected by the tested lighting conditions.
  • Higher illumination (1000 lx) promoted sustained attention, though it was associated with user discomfort.
  • EEG data and interview responses indicated that 300 lx at 4000 K was a favorable condition.

Conclusions:

  • The study recommends specific lighting parameters (300 lx, 4000 K) for university environments to optimize learning performance.
  • These findings offer a practical foundation for updating lighting standards in educational institutions.
  • The recommended settings balance cognitive performance with energy-saving benefits.