Concurrent bimanual stylus interaction: a study of non-preferred hand mode manipulation
Bibliographic record
Abstract
Pen/Stylus input systems are constrained by the limited input capacity of the electronic stylus. Stylus modes, which allow multiple interpretations of the same input, lift capacity limits, but confront the user with possible cognitive and motor costs associated with switching modes. This paper examines the costs of bimanual mode switching, in which the non-preferred hand performs actions that change modes while the preferred hand executes gestures that provide input. We examine three variants to control mode of a stylus gesture: pre-gesture mediation, post-gesture mediation, and mediation that occurs concurrently with stylus gesturing. The results show that concurrent mode-switching is faster than the alternatives, and, in one trial, marginally outperforms the control condition, un-moded drawing. These results demonstrate an instance in which suitably designed mode-switching offers minimal cost to the user. The implications of this result for the design of stylus input systems are highlighted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".