Perceptual illusions affect visually-guided actions with the non-dominant but not with the dominant hand
Bibliographic record
Abstract
The visuomotor system that controls real-time target-directed movements is remarkably resistant to a wide range of perceptual illusions. The fact that the visual control of action is refractory to visual illusions has been used as evidence to suggest that vision-for-action and vision-for-perception are functionally and neurally dissociable. Nevertheless, one might expect that more deliberate and less-practiced actions, which would involve more cognitive control, might be susceptible to perceptual illusions. To test this idea, we asked subjects to reach out and grasp simple objects with their non-dominant (left) hand and compared their performance to that of their dominant (right) hand in the context of two pictorial illusions. In Experiment 1, we found that even though grasping movements using the dominant hand were completely unaffected by the Ponzo illusion, the illusion had a significant effect on grasping movements with the non-dominant hand. In Experiment 2, we replicated these results using the Ebbinghaus illusion. In other words, in both experiments, grip aperture was scaled to the real size of the target when participants used their right hand but to the apparent (illusory) size of target when they used their left hand. This dissociation was accompanied by longer movement times, as well as by greater variability in movement trajectories in the left hand. These results indicate that qualitative differences exist between the visual control of actions that are performed by the dominant and non-dominant hands. The fact that actions with the right hand but not with the left are resistant to perceptual illusions may reflect a basic distinction in the neural substrates of the visual control of automatic and controlled movements. In addition, our findings suggest that one must be careful in the selection of actions when testing predictions about possible dissociations between vision-for-perception and vision-for-action.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".