Age-Related Deficits in the Frequency of Gaze Responses to the Mirrors and Blind-Spot During Land Change Maneuvers of Various Complexity
Bibliographic record
Abstract
Lane changing is a complex driving maneuver that could challenge elderly drivers. The aim of this study was to evaluate eye glances of young and elderly active drivers when engaging lane change maneuvers. Twelve young (aged 21-31 years) and eleven older (aged 65-75 years) active drivers drove through a continuous simulated environment (STISIM, v2.0). The scenario included 16 events where the driver needed to glance at three important regions of interest (ROI): 1) the rear-view mirror, 2) the left-side mirror, and 3) the left blind spot to ensure secure lane change. The lane change maneuvers were necessary 1) to avoid a static object that was partially or completely blocking the lane or 2) for overtaking a slower moving vehicle. Compared with younger drivers, older drivers showed a reduced frequency of glances towards the left-side mirror and the blind spot. Also, while the older drivers showed a constant frequency of glances across the two types of driving maneuvers (i.e., avoiding a static object and overtaking a slower vehicle), the younger drivers generally showed a higher frequency of glances and this frequency increased when overtaking a slower vehicle. A better knowledge of the elderly drivers’ behavior could enable researchers to identify at-risk behaviors and to retrain older drivers to adopt safer behaviors.
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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 | 0.002 | 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".