BendAide: A Deformable Interface to Augment Touchscreen Mobile Devices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The uses of handheld mobile devices are diverse, yet interaction is not; touchscreens are the singular primary interface on most mobiles. Touch interaction has usability issues (e.g., the “fat fingers problem”) which impair the fine control of small interface elements, such as when working with text. Beyond text entry, this includes tasks like placing the in-text cursor (caret), text selection, and copy/paste. Current solutions for touch usability issues do not address complex uses like working with text. We propose deformable interaction, specifically bend, added alongside touch to support working with text on mobile. We explore this through a study of BendAide, a novel deformable 3D printed case for mobiles that adds bend interaction to the device. We found that people perceive different advantages between bend and touch and that they will alternate between these inputs based on task demands and their personal abilities. Adding alternate input options to mobile could reduce the complexity of on-display interfaces and interactions and give people more choice in how they use their devices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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