Technology-Supported Group Activity to Promote Communication in Dementia: A Protocol for a Within-Participants Study
Bibliographic record
Abstract
Computer Interactive Reminiscence and Conversation Aid (CIRCA)is an interactive conversation support for people living with dementia. CIRCA facilitates one-to-one conversations and caregiving relationships in formal care environments. Originally developed as a standalone device, a new web-based version of CIRCA has been created to increase availability. The potential of CIRCA to support group activities and conversation between people living with dementia and a facilitator has not previously been explored. The two objectives of this study are (i) to validate the new web-based version of CIRCA against the original standalone device, and (ii) to explore the efficacy of CIRCA in supporting group activity for people with dementia in a formal care setting. This mixed-methods study comprises two parts: (i) an eight-session group activity using the CIRCA stand-alone device, and (ii) an eight-session group activity using the web-based CIRCA. One hundred and eighty people with dementia will be recruited: 90 for part (i) and 90 for part (ii). Measures of cognition and quality of life will be taken at the baseline, post-CIRCA intervention, and three months later, plus video recordings of the group sessions. Both parts of the study will be completed by June 2018. The study will provide evidence on two issues: (i) a validation of the new web-based version of CIRCA, and (ii) the suitability of CIRCA to support group activities in formal care settings for people living with dementia. This protocol is an extended version of the short paper presented at the AAATE 2017 conference and published in Studies in Health Technology & Informatics.
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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 | 0.051 | 0.032 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.060 | 0.018 |
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".