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Pervasive assistive technology for people with dementia: a UCD case
Julia Rosemary Thorpe1, Kristoffer V H Rønn-Andersen1, Paulina Bień1
1Department of Management Engineering , Technical University of Denmark , Kgs. Lyngby 2800 , Denmark.
Smart mobile and wearable assistive technology (AT) shows promise for people with dementia (PwD). User-centered design is key, with personalization and familiarity crucial for adoption of these pervasive technologies.
Area of Science:
- Gerontology
- Human-Computer Interaction
- Digital Health
Background:
- Assistive technology (AT) for people with dementia (PwD) faces adoption challenges.
- Ubiquitous smart mobile and wearable technologies offer potential for PwD support.
- User-centered design (UCD) is critical for effective AT development in this demographic.
Purpose of the Study:
- To describe a UCD approach for developing and testing AT for PwD using pervasive technologies.
- To evaluate the usability, usefulness, and user acceptance of a prototype AT system.
- To identify challenges and provide recommendations for future AT development for dementia.
Main Methods:
- Developed a prototype AT integrating a smartphone, smartwatch, and applications with six support features.
- Conducted controlled usability testing and real-world field testing with five PwD and their caregivers.
- Collected data via video recordings, interaction logs, questionnaires, logbooks, usage logs, and interviews (Unified Theory of Acceptance and Use of Technology model).
Main Results:
- The AT prototype demonstrated potential for user adoption among people with dementia.
- Personalization and familiarity were identified as critical factors influencing adoption.
- Usability issues, feature usefulness, and four distinct adoption profiles were detailed.
Conclusions:
- Smart pervasive AT holds promise for supporting people with dementia.
- UCD methods, emphasizing personalization and familiarity, are essential for successful AT development.
- Recommendations are provided for practitioners and researchers to improve smart AT for dementia.
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