The (un)usefulness of interactive exploration in building 3D- mental representations.
Bibliographic record
Abstract
The generation of mental representations from visual images is crucial in 3-D object recognition. In two experiments, thirty-six participants were divided into a low, middle, and high visuospatial ability (VSA) group, which was determined by Vandenberg and Kuse's MRT-A test (1978 Perception and Motor Skills 47 599 - 601). In the experiments, the influence of four types of exploration (none, passive 2-D, passive 3-D, and interactive 3-D) on building 3-D mental representations was investigated. First, 24 simple and 24 complex objects (consisting of respectively 3 and 5 geons (Biederman, 1987 Psychological Review 94 115 - 147) were explored and, subsequently, tested through a mental rotation test. Results revealed that participants with a low VSA benefit from interactive exploration of objects opposed to passive exploration. This refines James et al's findings (2001 Canadian Journal of Experimental Psychology 55 111 - 120), who reported a general increased performance with interactive as compared to passive exploration. Our results underline that individual differences are of key importance when investigating human's visuospatial system or visualisation techniques.
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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 | 0.002 |
| 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".