Context-based and Rule-based Adaptation of Mobile User Interfaces in mHealth
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
Mobile technology is an integral part of the modern health care environment. In mHealth, the mobile user interface (MUI) serves as the bridge between the application and the health care professional. It is important that the doctor be able to easily express his needs on the MUI and correctly interpret the information displayed. New techniques for adapting MUIs offer new opportunities for the MUI designer to maximize the benefits of mHealth technology by providing the best possible way for health care professionals to perform their tasks efficiently and effectively. For the designer, the hope is that new technologies will be developed, such as mobile devices adaptable to different environments, so as to enable customization of the application to the user's context. In this paper, we propose context-based and rule-based approach for designing adaptable MUIs in mHealth. The MUI features adapted to the needs of health care professionals have been implemented on the iPhone and evaluated with an empirical study.
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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 | 0.001 | 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 | 0.000 |
| 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 it