PantographHaptics: A Technique for Large-Surface Passive Haptic Interactions using Pantograph Mechanisms
Why this work is in the frame
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Bibliographic record
Abstract
In Virtual Reality (VR), existing hand-scale passive interaction techniques are unsuitable for continuous large-scale renders: room-scale proxies lack portability, and wearable robotic arms are energy-intensive and induce friction. This paper presents a technique for providing wall haptics in VR which supports portable, passive, and large-scale user interactions. We propose a potential solution, PantographHaptics, a technique which uses the scaling properties of a pantograph to passively render two-degree-of-freedom body-scale surfaces to overcome the limitations present in existing methods. We demonstrate PantographHaptics through two prototypes: HapticLever, a grounded system, and Feedbackpack, a wearable device. We evaluate these prototypes with technical and user evaluations. Our 9-participant first study compares HapticLever against traditional haptic modalities, while our 7-participant second study verifies Feedbackpack's usability and interaction fidelity.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it