Presentation of haptic shape through contact location trajectory
Bibliographic record
Abstract
This thesis investigates a series of elementary cues, which together are thought to constitute fundamental components of the perceptual process arising from haptic interaction with an object. Results from a first study indicate that direct contact between fingerpad and object is important during haptic exploration. This was hypothesized to be so since the stereotypical contact region that is defined between fingerpad and object during direct contact is fundamentally different from the contact region defined through interaction of the object with an intermediary such as a probe. In an attempt to artificially create local contact region deformation trajectories, a servo-controlled mechanism was designed to roll a flat plate on the fingerpad during exploration of virtual surfaces thereby mimicking trajectories that are normally observed during direct fingerpad exploration of a physical object. Using the mechanism, it was demonstrated that through the presentation of this single cue an experience of touching three-dimensional shapes could be created. The importance of additional cues, such as number of contact points and motor control effects, on the haptic acquisition of shape information were also investigated.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".