Activity Ratio to Measure Physical Demand of Cognitive Workload
Bibliographic record
Abstract
Human-machine systems (HMS) need trustful cooperation between humans and machines for achieving a goal. Establishing such trust demands the machines’ adaptivity to the cognitive workload (CWL) of the humans. The CWL is conventionally measured as self-reported scores from a NASA-TLX questionnaire, susceptible to individual subjectivity. In contrast, logged brainwaves are useful for measuring the CWL objectively. However, there is a literature gap of mapping the brainwaves to a CWL factor - i.e., physical demand. As a feasibility, we thus proposed an activity ratio (AR) to measure the physical demand from the brainwaves. Statistical analyses indicated significant correlations between the AR and self-reported scores of the physical demand, compared to a well-known engagement ratio. This finding implied the feasibility of the AR to measure the physical demand.
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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 | 0.000 |
| 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) | 0.004 | 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".