Feasibility Testing the Computer Interactive Reminiscing and Conversation Aid in Canada
Bibliographic record
Abstract
Abstract Background The Computer Interactive Reminiscing and Conversation Aid (CIRCA) is a multimedia conversation support for people living with dementia and caregivers, comprising generic photographs, music, and video clips (e.g., famous songs) 1 . CIRCA provides a meaningful shared activity for people with dementia and caregivers, which can positively impact cognition and quality of life 2 . Originally developed in the UK as an offline touchscreen resource, the need for a refreshed version aligned with current digital services and resources was identified. This feasibility study tested a new version of CIRCA containing a broad selection of Canadian‐relevant contents. Method People with dementia, care staff, and family caregivers were recruited from community‐based organizations in Ontario and Saskatchewan, Canada. Staff received training to deliver CIRCA as a group program, which their clients could also use at home with their families. During the group sessions, video recordings captured participants’ responses to the contents. Usage data (e.g., date, time, duration) was captured on the back‐end. At the end of the study, interviews and focus groups captured satisfaction, feedback, suggestions for additional contents, and perceptions of CIRCA's feasibility for Canadians with dementia. Result To date, 49 CIRCA sessions have been run with 19 staff (19F/0M), 4 family caregivers (3F/1M), and 69 clients (38F/31M) across six locations and in four family homes. Session length ranged from 6‐82 minutes, with a mean duration of 32.25 minutes. Canadian CIRCA contents (e.g., videos of Ontario Place) have sparked a variety of conversations, laughs, and memories, with both clients and facilitators enjoying the experience. Conclusion People with dementia and their caregivers enjoyed using CIRCA, including shared exploration of CIRCA contents, increased time spent in conversation, sharing of stories from the past, and positive interactions. The results support potential scaling of CIRCA for Canadians living with dementia
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".