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Dementia Care Research and Psychosocial Factors
Erica Dove1, Ansh Sharma1, Riju Mukherjee1
1University of Toronto, Toronto, ON, Canada.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
Summary
This study developed CUE-D, a voice assistant using large language models to help people with dementia maintain independence in daily activities. Early testing shows improved usability and task completion, supporting longer home living.
Area of Science:
- Gerontology and Cognitive Science
- Human-Computer Interaction
- Artificial Intelligence in Healthcare
Background:
- Dementia significantly impacts independence by hindering daily activities.
- Timely, context-aware cueing can aid individuals with dementia in task completion.
- Large language models (LLMs) offer potential for personalized dementia support.
Purpose of the Study:
- To co-create and evaluate CUE-D, a voice assistant designed to provide tailored cueing for people with dementia.
- To assess the usability and functionality of the CUE-D interface and voice prompts.
- To explore the potential of LLMs in supporting dementia care and independence.
Main Methods:
- Community-based user co-creation sessions with people living with dementia and family carers.
- Video-recorded interactions with CUE-D to identify usability issues.
- Administration of the Voice Usability Scale (VUS) and semi-structured interviews.
Main Results:
- Iterative development and testing of CUE-D with 12 participants living with dementia.
- Increased Voice Usability Scale scores with design refinements.
- 75% of participants successfully completed all assigned tasks, indicating high usability.
Conclusions:
- CUE-D, powered by LLMs, can support individuals with dementia in performing daily activities, promoting independence.
- This technology can help people with dementia live at home longer, reducing caregiver burden.
- Personalized AI-driven support respects individuality and personhood, easing pressure on health and social care systems.
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