Estimating Workload Demands of Turning Left at Intersections of Varying Complexity
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.
Bibliographic record
Abstract
The challenge posed by left-turns has been well-documented in literature. Left-turns are thought to be complex roadway sites resulting in a significant proportion of motor-vehicle collisions. The purpose of the present study was to determine whether subjective and objective workload is affected by left-turns of varying complexity (i.e., information processing and maneuvering) in a sample of young inexperienced drivers. A secondary goal was to determine the effect of administering a secondary task on subjective workload. To this end, 60 inexperienced drivers completed four simulated driving scenarios of varying visual and maneuvering complexity. Half of participants completed an objective measure of workload (i.e., a secondary task) while all participants completed a subjective measure of workload upon completion of each scenario. The results demonstrated the effect of complexity on subjective and objective workload. Specifically, information processing complexity was found to significantly affect both subjective and objective measures of participants’ workload while the influence of maneuvering complexity was detected through subjective load only.
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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) | 0.000 | 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 it