Learning improves the contribution of auditory distance cues to size constancy in perception and grasping when vision is limited
Bibliographic record
Abstract
When vision is restricted, proprioceptive distance cues fully restore size constancy for scaling grip aperture when grasping objects, despite only limited improvement in perceptual judgments of object size. This suggests that specific task demands and associated neural mechanisms determine the relative weighting of cues during multisensory integration. Is this specific to proprioceptive cues? Here, we examined the contribution of auditory information to perception and action systems under restricted viewing conditions. Surprisingly, in contrast to proprioception, providing auditory distance information had no impact whatsoever on size constancy in grasping but did improve perceptual judgments of size. After participants received extensive training in discriminating distance from auditory cues, there was a modest improvement in grip scaling. Taken together, we suggest that the neural mechanisms mediating grasping cannot incorporate distance information from audition as easily as they can from proprioception when computing real-world object size but this ability can be improved with training.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.009 |
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 source (direct Gemma or distilled Codex), 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".