1 Lightbar Design: The Effect of Light Color, Lightbar Size and Auxiliary Indicators on Tracking and Monitoring Performance
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 purpose of this paper is to determine the effect of light color, the presence of auxiliary indicators, and lightbar size on the tracking and monitoring performance of the operator of an agricultural machine while using a lightbar as a guidance aid. Five lightbar displays varying in light color, presence of an auxiliary indicator, and lightbar size were evaluated by twenty-four volunteer test subjects. The simulation consisted of a tracking task and three choice reaction time tasks. Subjective workload ratings were completed following each driving session. The effectiveness of the lightbar in transmitting guidance information can be improved by replacing the presently used red LEDs with blue LEDs and by increasing the size of the lightbar. A blue-colored display reduced the steering error and the reaction time by 16 and 13%, respectively, compared with a red-colored display of the same size. Similarly, a large lightbar reduced the steering error and the reaction time by 10 and 4%, respectively. Auxiliary indicators reduced steering error by 6%, but increased reaction time by 7%. These results suggest that ergonomic factors should be considered when designing a lightbar display.
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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