Effects of color temperature and time gradients on visual fatigue recovery in closed cabin
Bibliographic record
Abstract
The working environment of a closed cabin is particularly prone to inducing visual fatigue among visual display terminal (VDT) operators. Once visual fatigue symptoms set in, the limited space of the closed cabin and its monotonous visual environment make it challenging to alleviate visual fatigue by disregarding the fatigue. Fifteen healthy male participants aged 20–25 years were recruited for the study, and the results were statistically significant. The fatigue recovery degrees under three lighting color temperatures (3000 K, 4500 K, and 6000 K) and three recovery durations (5 min, 10 min, and 15 min) in a closed cabin were studied. The visual fatigue scale and the Karolinska Sleepiness Scale were employed to collect subjective fatigue data from the participants, while objective visual fatigue data were obtained using an eye tracker. After 5 min of rest, the rate of change in pupil diameter at low temperatures was significantly greater than that at high temperatures ( P = 0.033). The results indicated that recovery under the 3000 K light environment was beneficial for alleviating and eliminating visual fatigue, while a 6000 K light environment helped improve the alertness of VDT operators. Recovery time significantly impacted the recovery degree of visual fatigue, with the recovery degree increasing as recovery time increased. Color temperature and recovery time interacted significantly ( P = 0.011), and the light environment parameters showed a significant impact only at short recovery times. This paper also introduced a visual fatigue recovery index to measure the degree of visual fatigue recovery, and the index was used to verify the experimental results. The research holds significant reference value for selecting ambient lighting color temperatures in resting rooms. • Investigating effects of 3000K, 4500K, 6000K & 5, 10, 15 min rest on visual fatigue recovery. • 3000K lighting beneficial for alleviating visual fatigue; 6000K improves alertness. • Proposing new integrated visual fatigue recovery index using subjective & objective metrics. • Provides guidance for rest area lighting in confined cabins to promote faster recovery. • Offering solutions to alleviate visual fatigue for closed cabin operators.
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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 | 0.001 | 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 | 0.000 | 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) | 0.000 | 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".