Influence of color on glare perception revealed when seeing the sun through colored glazing
Bibliographic record
Abstract
The influence of color on discomfort glare from daylight remains unknown, despite its known effects in electric lighting. This gap limits the ability to predict and mitigate glare in environments with colored glazing and filtered daylight. To address this, we conducted experiments in a controlled daylit office where 56 participants were exposed to four glare conditions induced by the sun visible behind the colored glazing. The conditions differed only in glazing color (red, blue, green, and neutral) towards the sun while having similar visual transmittance resulting in similar glare metrics across colors. Results revealed a strong influence of color with red glazing leading to the highest reports of glare, closely followed by blue, while green and neutral were perceived as least disturbing. These findings suggest that current glare models using photopic luminosity function as a spectral weighting are not effective enough and from this, we assume the Helmholz-Kohlrausch effect can apply to glare similar to brightness perception. To explore this, we tested three color appearance models and supplementary photometry system as alternatives. While these models aligned better with subjective glare reports, they require modifications for higher luminance conditions and need to be tested for wider range of stimuli.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".