Haptic size perception is influenced by body and object orientation
Bibliographic record
Abstract
Changes in body orientation impacts our perception of visual size. This has been attributed to the involvement of the vestibular system in constructing and maintaining a representation of space. Here we investigate how body orientation might influence haptic size perception. Blindfolded participants estimated the felt length of a rod and then adjusted it back to its previously felt size after it had been set to a random size. Participants could feel and adjust the rod in the same posture (standing or supine) or after changing posture. They held the rod either aligned with the long axis of their body such that its orientation relative to gravity changed with body tilt, or they held it laterally across the chest where its orientation relative to gravity was constant. Based on past literature, perceived size should be larger when the body is supine. In support of this hypothesis, our results indicate an expansion of perceived haptic size when supine but only for a rod held aligned with the body. This suggests that vestibular cues not only influence visual but also haptic size perception and the perception of the space around us.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".