The Immersive Mental Rotations Test: Evaluating Spatial Ability in Virtual Reality
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
Advancements in extended reality (XR) have inspired new uses and users of advanced visualization interfaces, transforming geospatial data visualization and consumption by enabling interactive 3D geospatial data experiences in 3D. Conventional metrics (e.g., mental rotations test (MRT)) are often used to assess and predict the appropriateness of these visualizations without accounting for the effect the interface has on those metrics. We developed the Immersive MRT (IMRT) to evaluate the impact that virtual reality (VR) based visualizations and 3D virtual environments have on mental rotation performance. Consistent with previous work, the results of our pilot study suggest that mental rotation tasks are performed more accurately and rapidly with stereo 3D stimuli than with 2D images of those stimuli.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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