A Performance Evaluation of Seven Consumer-grade Indoor Air Quality Monitors in a Low-cost Laboratory Test Setting and in a Residential Environment
Bibliographic record
Abstract
There are a number of new low cost, air quality devices marketed to consumers that monitor realtime, indoor air pollutants. Questions remain about the accuracy, responsiveness, and smartphone visualization capabilities of these devices. This MRP identified and tested 14 devices (seven types, two ofeach product): AirBird, Airthings View Plus, Aranet4 Home, Awair Omni, Eve Home, Laser Egg + CO 2, and Purple Air PA-1. The study used three methods: 1. a low-cost laboratory setting to test accuracy for CO 2;2) Comparison to a calibrated, research grade meter (Lighthouse Handheld-3016-IAQ) for particulate matter PM2.5, temperature,and relative humidity; 3. Short-term field testing in a residential environment. The main results were that all devices were within acceptable ranges for temperature, relative humidity, and CO 2, with some variation in the response time and data visualization. Only Purple Air PA-1 had accurate correlations with the research grade monitor when testing PM 2.. Field study testing demonstrated each device's reaction time and data visualization. Future work could focus on how to interpret the results from the IAQ monitors in housing design and human activities.
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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 | 0.005 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".