Active Visualization of Visual Cues on Hand for Better User Interface Design Generalization in Mixed Reality
Bibliographic record
Abstract
With the emergence of various unique augmented reality devices, researchers are exploring how mixed-reality applications can enhance user experience. We propose a working prototype emphasizing that mixed reality applications should consider incorporating visual cues on the user’s hand for better user experience, in our case representing selected color on the index fingertip. Such a design can assist users in being attentive regarding what color they are using. Eventually, reducing unintended errors occur when the active visual component is not visible in the field of view. Generally, we argue that representing visual cues on the user’s hand has major advantages, including defining a general platform for placing visual cues, immediate response, and preserving computational resources. Most importantly, developers can utilize the general platform to give or place visual feedback in mixed-reality applications. Moreover, we highlight the importance of interacting in mid-air compared to tactile feedback.
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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".