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Record W7047299496

Exploring participatory design methods for seniors with memory loss through the co-
\ndesign of tangible communication tools

2014· other· en· W7047299496 on OpenAlexaff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2014
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsFeelingIsolation (microbiology)Social isolationParticipatory action researchCitizen journalismParticipatory designPopulationHealth care
DOInot available

Abstract

fetched live from OpenAlex

As the number of seniors with memory loss continues to rise, the importance of designing tools that facilitate connection with loved ones to reduce feelings of isolation is becoming increasingly apparent. Feelings of isolation have been linked to poor health outcomes and consequently place larger demands on health care systems, health care professionals, family members, and friends. Seniors with memory loss (SWML) have a higher risk of becoming social isolated, and isolation can accelerate the rate of memory loss. This research addresses social isolation among this population by exploring ways to engage them in co-designing solutions. Traditional research methods and communication technologies may not be appropriate or may need to be modified in order to engage SWML. Through a combination of participatory design, co-design, and generative tools, this research explored: (1) current research methods and techniques used to engage SWML in the design process, (2) the evaluation of existing and new design techniques through the facilitation of three pilot studies, (3) and insights and recommendations to engage this population in future work.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.288
GPT teacher head0.392
Teacher spread0.104 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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