Exploring Finger-Worn Solutions for Transitioning between the Reality-Virtuality Continuum
Bibliographic record
Abstract
Head-mounted displays (HMDs) enable users to navigate the Reality-Virtuality Continuum, facilitating transitions between the Real world, Augmented Reality, Augmented Virtuality, and the Virtual world. Traditional transition methods use double taps on HMDs or buttons on handheld controllers to transition between the worlds. However, this can often disrupt hands-free interaction and hinder the overall immersion. Although prior work explored transitioning within a reality, little is known about solutions facilitating transitioning across multiple worlds. In this paper, we investigate index finger-based solutions for transitioning between multiple realities. We designed and fabricated finger-worn button configurations of 2 × 2, 2 × 1, and 4 × 1, and compared them with finger-worn solutions such as Joystick, Rotary wheel, and Slider. The results showed that the 2 × 2 button configuration is the most effective technique, minimizing trial time and ensuring user comfort. Overall, this research enhances VR user experiences by improving interaction techniques for fluid switching between realities in the Reality-Virtuality Continuum.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".