Engaging Older Adults in Technology Research: Perspectives on Barriers and Facilitators Using a Case Study Approach
Bibliographic record
Abstract
Abstract The aim of OA-INVOLVE is to provide recommendations to support older adult engagement in research that leads to the successful development of technologies for and with older adults. To support this aim we conducted a longitudinal case study project in which we interviewed eight AGE-WELL research teams conducting technology projects to explore the benefits, challenges, and solutions for meaningful engagement. Members of the OA-INVOLVE Older Adult Research Partner Group (OARPG) were involved in all aspects of the project. Findings from the case studies provided important insights regarding structural, contextual, and individual factors that enable and constrain active involvement of older adults. Many projects reported developing unique “workarounds” in order to move beyond involving older adults as participants to involving them as advisors and decision makers. Researchers identified that they often lack the skills, training and resources to engage older adults in a meaningful way and could benefit from capacity building.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".