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Record W3017945746 · doi:10.1386/vcr_00020_1

Postcard Memories: A virtual / tangible memory sharing application for adults with early-stage dementia (ESD)

2020· article· en· W3017945746 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVirtual Creativity · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsDementiaFormative assessmentSummative assessmentPsychologyMnemonicPersonalizationApplied psychologyComputer scienceMedicineDiseaseWorld Wide WebCognitive psychology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.294
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it