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Record W4415719213 · doi:10.1080/13467581.2025.2574560

Contextual drivers of occupants’ comfort and behavior in buildings: A review

2025· review· en· W4415719213 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Asian Architecture and Building Engineering · 2025
Typereview
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsCarleton University
Fundersnot available
KeywordsVariablesContextual designScarcityContext (archaeology)PerceptionField (mathematics)Variable (mathematics)Isolation (microbiology)

Abstract

fetched live from OpenAlex

Comfort is a multifaceted concept, varying across different fields and contexts. In building environments, occupant comfort results from a complex interplay of physical, personal, and contextual factors. While physical variables have been extensively studied, the impact of contextual variables, especially those tied to architectural and interior design, remains underexplored. This manuscript highlights the gaps in the literature by analyzing 127 papers, offering a detailed and critical examination of the current understanding in the field, and distinguishing contextual variables from other experimental variables in the literature. The review details the various comfort domains and examines prior studies’ experimental settings and methodologies. The findings indicate that while variables such as office layout have been extensively examined, other factors such as workstation location, floor level, materiality, and furniture have received minimal attention. Furthermore, most existing studies were conducted in operational buildings, where confounding variables precluded the isolation of specific contextual factors. The review also emphasizes the scarcity of studies employing more rigorous and controlled experimental setups. It also contributes to the knowledge of contextual variables in the literature by adding categories and variables that previous studies have not explored. A framework is proposed for future studies focusing on the visual perception of contextual variables within relevant building typologies. It is recommended that controlled environments, advanced simulation techniques, and objective measurement tools be used in future experiments to isolate and accurately evaluate the impact of contextual variables on occupant comfort. Addressing these deficiencies will help advance the field by developing design guidelines and standards that enhance the well-being and productivity of building occupants.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.249
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it