The role of video game experience in spatial learning and memory
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
Abstract Video game playing has been associated with improvements in cognitive abilities that predict success in STEM fields, and therefore understanding this relationship is important. In two experiments, we used a virtual Morris Water Maze (VMWM) with and without proximal cues to measure spatial learning as a total of 82 video game experts and novices completed a search task across several trials. We measured the participants’ path lengths and tested their mental rotation abilities. The results showed that proximal cues improved overall performance. With no visible cues, experts exhibited better performance than novices when their memory for the general location of the platform was probed. With visible cues, video game experts travelled shorter path lengths than novices to the exact location of the hidden platform. Mental rotation ability correlated with overall maze performance only when no cues were visible, and only novices’ scores correlated with path length in this condition. These studies showed that the VMWM is a useful paradigm in examining how past video game experience influences human spatial cognition.
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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