Self-rated confidence and on-road driving performance among older adults
Bibliographic record
Abstract
BACKGROUND.: Driver confidence can be measured through concepts such as driving frequency, situational avoidance, and self-perceptions. However, it is not clear how well confidence aligns with actual driving performance. PURPOSE.: We examined the relationship between subjective measures of confidence in driving ability and on-road performance. METHOD.: We report findings from two studies. The first compared scores from the Older and Wiser Driver Questionnaire to an on-road driving evaluation. The second looked at the Day and Night Driving Comfort Scales and Driving Habits and Intentions Questionnaire in relation to an on-road driving evaluation. FINDINGS.: No measures of confidence in driving ability were related to on-road driving performance. IMPLICATIONS.: Confidence in driving ability bears little relationship to on-road performance. Future research should examine approaches to foster a better match between self-assessments and actual abilities among drivers.
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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 | 0.000 |
| 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".