Perceptual Characterization of a Tactile Display for a Live-Electronics Notification System
Bibliographic record
Abstract
In this paper we present a study we conducted to assess physical and perceptual properties of a tactile display for a tactile notification system within the CIRMMT Live Electronics Framework (CLEF), a Max-based1 modular environment for composition and performance of live electronic music. Our tactile display is composed of two rotating eccentric mass actuators driven by a PWM signal generated from an Arduino microcontroller. We conducted physical measurements using an accelerometer and two user-based studies in order to evaluate: vibrotactile absolute perception threshold, differential threshold and vibration spectral peaks. Results, obtained through the use of a logit regression model, provide us with precise design guidelines. These guidelines will enable us to ensure robust perceptual discrimination between vibrotactile stimuli at different intensities. Among with other characterizations presented in this study, these guidelines will allow us to better design tactile cues for our notification system for live-electronics performance.
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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 | 0.001 | 0.007 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".