Barriers and Facilitators to Older Adults’ Acceptance of Camera-Based Active and Assisted Living Technologies: A Scoping Review
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.
Bibliographic record
Abstract
Background and Objectives: Camera-based active and assisted living (AAL) technologies are an eminent solution to population aging but are frequently rejected by older adults. The factors that influence older adults' acceptance of these technologies remain poorly understood, which may account for their lagging diffusion. This scoping review aimed to identify the barriers and facilitators to older adults' acceptance of camera-based AAL technologies, with a view to facilitating their development and widespread dissemination. Research Design and Methods: MEDLINE, CINAHL, Embase, IEEE Xplore Digital Library, ACM Digital Library, Web of Science, and gray literature databases were searched from inception to June 2024. Publications that reported data on barriers and facilitators to the acceptance of camera-based AAL technologies among community-dwelling older adults aged 60 and above were eligible. Barriers and facilitators were extracted and mapped to the theoretical domains framework, thematically clustered, and narratively summarized. Results: A total of 28 barriers and 19 facilitators were identified across 50 included studies. Dominant barriers concerned the technology's privacy-invasive, obtrusive, and stigmatizing qualities. Salient facilitators included the perceived usefulness of, and older adults' perceived need for, the technology. Discussion and Implications: Results inform practitioners' selection of strategies to promote older adults' acceptance of camera-based AAL technologies. These efforts should transcend the conventional focus on pragmatics and give credence to psychological, social, and environmental influences on technology acceptance.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it