Reduced Interface Models for Haptic Interfacing With Virtual Environments
Bibliographic record
Abstract
Haptic interfacing typically requires high communication frequencies in order to render realistic interactions between a user and a virtual environment. In this work, we introduce reduced interface modelling (RIM) as a method to bridge the discrepancy in frequency requirements between haptic devices and virtual environment simulators. The method offers a model-based approach to approximate the environment behaviour between integration time steps, without relying on time history extrapolations of the environment state with no physical basis. Using a vehicle dynamics simulation interfacing with a haptic steering wheel, we show that the proposed method results in a drastic reduction in the computation time required for numerical integration and updates to the virtual environment compared to the common zero-order-hold method. T-tests on numerical ratings by participants in a multi-user study also confirm that the RIM yields better uncoupled stability and haptic rendering smoothness compared to a common time-history-based multi-rate sampling method.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".