Getting Back To Basics: Bimanual Interaction on Mobile Touch Screen Devices
Bibliographic record
Abstract
The availability, and popularity, of touch screen tablets is drastically increasing with over 30% of internet users now owning one. However the lack of bimanual interaction in touch screen tablets is presenting product designers with serious challenges. Several attempts have been made to facilitate bimanual interaction in such products but results are not comparable to that of their nonmobile cousins, e.g. laptops. This paper presents the finding of a group collaboration aimed at prototyping a mobile touch screen device which supports bimanual interaction, during internet browser navigation, through rear mounted inputs. The researchers found it problematic to add basic bimanual interactions for internet browser navigation to the rear of a prototype mobile touch screen device due to issues regarding grip type, finger movement and hand position. This paper concludes that in order to achieve high-quality bimanual interaction researchers need to re-examine these fundamental ergonomic aspects which hinder ease of use and consider how to free the hand and fingers from current constraints prior to the implementation of bimanual interaction.
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.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Open science | 0.001 | 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".