What's the Thumb Doing? Improving Precision for Thumb-to-Finger Interactions on Hand Proximate User Interfaces
Bibliographic record
Abstract
Hand Proximate User Interfaces (HPUI) on Head Mounted Displays (HMD) leverage hand tracking to anchor content on the hand and interact with it using thumb-to-finger interactions. Similar to many other interaction techniques on HMDs, HPUI realizes these interactions by combining simple geometry in game engines. This, in turn, leads to accidental triggers, akin to the "fat-finger problem" on touch screens. To address this, we explore and provide insight into how the thumb’s surface interacts when using HPUI by approximating the thumb’s surface with a large number of raycasts. We observe that different regions of the thumb are used when interacting with different parts of the hand. The results also highlight the need to consider the temporal component. We then propose approaches to improving the precision of thumb-to-finger interactions on HPUI and show that these improve target selection accuracy with denser target layouts.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".