Lane Position Head-Up Displays in Automobiles: Further Evidence for Cognitive Tunneling
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 benefits associated with the implementation of Head-Up Displays (HUDs) in aircraft have promoted the use of this technology in automobiles. These benefits, however, have been shown to come with concomitant performance costs. Specifically, aviation and motor vehicle research has shown that HUDs produce cognitive tunneling effects whereby an operator’s attention is captured and held by the HUD symbology such that it cannot be directed elsewhere. The cost of cognitive tunneling could be more severe for driving than for flying given that driving environments are typically more densely populated than they are for flying. For this reason, research on the effects of HUD-induced cognitive tunneling in automobiles is important. The current experiment explored the effects of a lane position HUD on driving performance. The results benefits and costs: the HUD improved lane position maintenance, but impaired speed monitoring.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 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