A picture is worth a thousand words: Smartphone photograph-based surveys for collecting data on office occupant adaptive opportunities
Bibliographic record
Abstract
In the past several decades, psychological aspects have been become important to holistic building occupant comfort and satisfaction evaluations. Psychological dimensions of comfort include occupants’ opportunities to interact with their indoor environment and perceived control over the indoor environment. Current post-occupancy evaluations tend to focus on collecting quantitative data, despite overwhelming evidence that contextual factors can profoundly impact occupant comfort. This paper proposes and tests a novel method for data collection to study adaptive comfort opportunities. A smartphone-based survey was developed to concurrently collect office occupants’ subjective evaluations of usability and comfort of spaces, in addition to photographs of all key building interfaces. The photos were coded to obtain quantitative characteristics of offices, such as whether the interface is obstructed. With a sample of 39 office workers, this paper reveals the effectiveness of this novel photographbased survey method, while also providing some initial quantitative and qualitative results.
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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 | 0.000 |
| 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".