PROTOTYPING THE “MEMO” MOBILE APPLICATION USING INTERFACE HEURISTICS FOR OLDER ADULTS
Bibliographic record
Abstract
ABSTRACT Objective: to build a mobile app prototype for the Canadian cognitive training program Méthode d’Entrainement pour une Mémoire Optimale, with an interface and design specifically for older adults. Method: a methodological study of technological production incorporating interface heuristics for small touchscreens for older adults, combined with the Prototyping Paradigm, systematized into: (1) communication; (2) rapid design and modeling; (3) prototype construction; and (4) deployment, delivery, and feedback. The prototyping process took place between February 2022 and August 2023. Results: the prototype included 216 screens divided into six sections, each containing cognitive training activities and information on aging and cognition. A concept map was created covering all content, followed by wireframing of the screens, enabling application of interface heuristics, including cognitive, visual, data entry, touch, and generational aspects. Conclusion: the adopted approach, combined with interface heuristics for the older adult population, resulted in creating a unique prototype whose aspects were meticulously planned and refined to ensure a fluid and seamless user experience, helping to reduce the accessibility gap of technological resources for these individuals.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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 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".