Vrmin: Using Mixed Reality To Augment The Theremin For Musical Tutoring
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The recent resurgence of Virtual Reality (VR) technologies provide new platforms for augmenting traditional music instruments. Instrument augmentation is a common approach for designing new interfaces for musical expression, as shown through hyperinstrument research. New visual affordances present in VR give designers new methods for augmenting instruments to extend not only their expressivity, but also their capabilities for computer assisted tutoring. In this work, we present VRMin, a mobile Mixed Reality (MR) application for augmenting a physical theremin, with an immersive virtual environment (VE), for real time computer assisted tutoring. We augment a physical theremin with 3D visual cues to indicate correct hand positioning for performing given notes and volumes. The physical theremin acts as a domain specific controller for the resulting MR environment. The initial effectiveness of this approach is measured by analyzing a performer's hand position while training with and without the VRMin. We also evaluate the usability of the interface using heuristic evaluation based on a newly proposed set of guidelines designed for VR musical environments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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