Attitude and perceptions of older and younger adults towards ambient technology for assisted living.
Bibliographic record
Abstract
OBJECTIVE: Healthcare systems are challenged by the rapidly increasing number of older adults requiring services to maintain at-home independence. Technology, such as ambient sensing, has been identified as one potential solution to address these issues. This study's aim is twofold: (1) to explore the general perception of older and younger adults about the transformative role technology can play in their health care as they age, and (2) the generation of health solutions in home care. SUBJECTS AND METHODS: This study explores data collected from an online survey involving 367 participants from North America and South Asia. RESULTS: Our analyses yielded that the older adult participants had a generally positive attitude toward employing technologies and that younger adults were less concerned about the use of ambient sensing. Notably, however, they all reported relatively deep concerns about the potential use of homecare service technologies. Our results showed heterogeneity of technology literacy among older adults. CONCLUSIONS: Both older and younger adults perceive ambient technology for assisted living as a promising solution to enable older adults' at-home independence. Regardless of age, potential users of these technologies showed concerns with possible breaches of individual privacy, personal data, and personal health information.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".