LeapBoard: Integrating a Leap Motion Controller with a Physical Keyboard for Gesture-Enhanced Interactions
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This research explores multimodal interaction whereby users engage multiple input and output channels, such as gestures, touch, audio, and graphics. Our system, LeapBoard, is a novel computer keyboard integrating a Leap Motion Controller (LMC) on a 3D printed frame. LeapBoard combines cursor positioning using mid-air gestures with selection using a key on a physical keyboard. In a user study with 12 participants using a 2D Fitts’ law target selection task, we compared LeapBoard with two alternative input methods, (i) a touchpad and (ii) an LMC combining mid-air gestures for cursor movement with a tap gesture for selection. LeapBoard yielded a significantly higher throughput (3.55 bps) than the touchpad (2.26 bps) and the LMC (1.97 bps). Error rates were significant lower for LeapBoard (4.6%) and the touchpad (3.4%) in comparison to LMC (12.8%). As well, the LMC method fared poorly on participant scores for fatigue (6.4/10). Fatigue scores were favorable for LeapBoard (1.8/10) and the touchpad (2.0/10). This work opens new possibilities for gestural and multimodal interaction while demonstrating off-loading of selection to alternate channels such as a separate hand or a dedicated key.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it