Subjective Fatigue and Performance Variation Correlation During Simulated Driving Tasks
Bibliographic record
Abstract
During prolonged driving tasks, fatigue increases and driving performance becomes impaired. To investigate variation of driver fatigue and driving performance, 14 driving simulator test subjects were asked to complete a questionnaire designed to subjectively quantify fatigue levels. Driver fatigue was estimated in several aspects such as ability to drive safely, drowsiness, and physical fatigue symptoms. Quantitative driving performance was evaluated by measuring steering wheel, lateral position, and speed control parameters. The results showed significant increase in subjective driver fatigue and driving performance impairment following simulated driving sessions. Based on questionnaire scores, a driver fatigue indicator was developed. Analysis of this indicator revealed that subjective fatigue increased rapidly during the first 45 minute session, and more gradually during the remaining two sessions. Short breaks between sessions resulted in temporary fatigue recovery. Increased standard deviations for steering wheel rate, lateral velocity, and average speed indicated similar quantitative driving performance impairment. Comparison of subjective scores with standard deviation of acceleration indicates a possible relationship between the increased subjective fatigue and impaired driving performance.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".