Physiological Indicators of Thermal Comfort: A Comprehensive Approach Using the Metabolic-Based Predicted Mean Vote Index
Bibliographic record
Abstract
Current thermal comfort constructs are perceptional, and their relationships to the physiological responses are not fully understood. The latter are very important, not only to indicate personal comfort perception but also to protect personal health against cold and heat stresses. This paper combined a two-node bioheat model with the metabolic-based predicted mean vote index (MPMV) to uncover the relationships between the physiological responses and perceptional thermal sensation at steady-state conditions. The MPMV index accounts for sweating and non-shivering thermogenesis (NST) at the neutral comfort state and handles both core and skin cooling cases. Simulations were conducted for adults in typical indoor environment conditions. The physiological responses investigated included the body, core and mean skin temperatures, skin evaporative heat flux, shivering metabolic rate, and skin blood flow. The study revealed that only the mean skin temperature and skin blood flow can discriminate between comfort perception levels and can therefore be used alone or combined with other variables as alternative physiological indicators. The comfort range (MPMV within ±1) in terms of the mean skin temperature is maintained by regulatory sweating and/or NST and gets wider with increasing activity levels. The study also offered important insights for practical applications and future research.
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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 | 0.000 | 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".