Evaluating design guidelines for hand proximate user interfaces
Bibliographic record
Abstract
Our study investigates the design practices of Hand-Proximate User Interfaces (HPUI) which are displayed on and around a user’s hand in a head-mounted display (HMD). Specifically, we examine one-handed inputs where the main mode of interaction is thumb-to-finger contact. Our focus is on the user interface (UI) design of these displays, and we aim to develop design guidelines and heuristics for this novel design space. To achieve this, we conducted a participatory design study involving 15 participants who provided feedback on 120 different design examples, as well as their thoughts surrounding the HPUI design. Participants favored designs that were ergonomically comfortable and flexible, and those that provided clear visibility regardless of hand positioning. Based on this feedback, we developed 7 design guidelines for Hand Proximate User Interfaces. In applying these guidelines we find that common application interfaces can easily be accommodated using HPUI for use on head-mounted displays.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".