Postcard Memories: A virtual / tangible memory sharing application for adults with early-stage dementia (ESD)
Bibliographic record
Abstract
Dementia is a major cause of disability among older adults, with 50 million people worldwide living with the disease and 10 million new cases diagnosed each year. Postcard Memories is a web-based, virtual memory-sharing mobile application, designed to support individuals diagnosed with early-stage dementia (ESD), their families, friends and caregivers. The research and design methods employed argue the value and importance of elder–computer interaction, and greater personalization, supporting and enhancing elder’s engagement in both the virtual and physical mnemonics of memory sharing. The researchers implemented a two-stage study design, including formative and summative assessments of low- and high-fidelity prototypes, pre-, and post-testing questionnaires, patient and carer interviews and ‘think-aloud’ testing methodologies for interaction evaluation. Through quantitative and qualitative assessments this research demonstrates that the Postcard Memories application has potential benefits, including enhanced technical ability and hence self-confidence with new technologies; and enhanced interactions with family members, a promising outcome for those living with ESD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".