Can Digital Technology Enhance Social Connectedness Among Older Adults? A Feasibility Study
Bibliographic record
Abstract
This study examined the feasibility of a novel communication technology to enhance social connectedness among older adults in residential care. Research suggests that technology can create opportunities for social connectedness, helping alleviate social isolation and loneliness. Studies on implementation and feasibility of such technological interventions, particularly among frail and institutionalized older adults, are scant. Data were gathered in a 3-month deployment with 12 older adults, including semistructured interviews with participants and relatives/friends, psychometric scales, field observations, and usability tests. Data were analyzed with qualitative profiling, thematic analysis, and Friedman tests. The technology was a feasible communication tool, although requiring an adaptation period. Use increased perceived social interaction with ties, but increased social connectedness (meaningful social interaction) was only reported by participants with geographically distant relatives. Sense of well-being and confidence with technology was enhanced, but negative effects were also observed. Findings are useful for researchers and practitioners interested in technological interventions.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".