Video Gamer Advantages in a Cellular Telephone and Driving Task
Bibliographic record
Abstract
Driving while speaking on a cellular telephone is one of today's most controversial and risky dual task situations. Proficient video game players possess superior divided attention ability and were hypothesized to display superior driving performance compared to non-gamers when engaged in these dual tasks. 115 university students were tested following characterization of their video game proficiency. The driving task, was performed using Drivesim 4.00 software, and was presented by itself as well as in combination with a series of verbal tasks simulating a telephone conversation (the dual task situation). The verbal tasks were also tested apart from the simulated driving. Each participant was thus his/her own control so that the effect of driving or performing verbal tasks could be examined separately and in combination with each other. Compared to non-gamers, proficient video game players had fewer crashes and drove more safely in the dual task conditions.
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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 | 0.000 | 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".