Using Adaptive Interaction to Simplify Caregiver’s Communication with People with Dementia Who Cannot Speak
Bibliographic record
Abstract
Caregivers find it difficult to interact with people with dementia who have lost the capacity for speech. Adaptive Interaction is a simplified approach that uses the nonverbal fundamentals of communication to connect with people who can no longer speak. Here we present Adaptive Interaction as a method for equipping caregivers with these nonverbal skills to increase communication with the people they care for. Six caregivers were each paired with one individual with dementia and trained in Adaptive Interaction. After receiving training in Adaptive Interaction, caregivers identified more communicative behaviours in their interactions partners and engaged in more frequent positive social behaviours and meaningful actions during interactions. These findings suggest that it is possible to equip staff to use simplified communication based on nonverbal fundamentals to connect with people with dementia who can no longer speak.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".