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Development and User-Centered Evaluation of Smart Systems for Loneliness Monitoring in Older Adults: Mixed Methods
Yi Zhou1, Jessica Rees2, Faith Matcham3
1Department of Engineering, King's College London, London, United Kingdom.
Journal of Medical Internet Research
|January 28, 2026
Summary
Smart textiles offer a novel approach to monitoring loneliness in older adults, showing promise for personalized detection. User acceptance hinges on trust, privacy, and seamless integration into daily life.
Area of Science:
- Gerontology
- Human-Computer Interaction
- Wearable Technology
Background:
- Loneliness in older adults is a significant health risk, with current assessment methods limited by bias.
- Objective, continuous monitoring is needed, but existing technologies lack daily routine integration.
- Smart textiles present an unexplored avenue for passive loneliness detection.
Purpose of the Study:
- To evaluate the usability, acceptability, and emotional resonance of a smart loneliness monitoring system.
- To identify design implications for sustained engagement among older adults.
Main Methods:
- Developed and evaluated a prototype system with 10 older adults in immersive workshops.
- Employed a mixed-methods approach: questionnaires, observations, focus groups, and co-design.
- Analyzed quantitative data descriptively and qualitative data thematically.
Main Results:
- High user satisfaction with comfort, ease of use, and feedback clarity.
- Varied trust in long-term monitoring and regular use.
- Key acceptance factors include wearability, integration, privacy, data control, and ethical considerations.
Conclusions:
- The smart textile prototype shows potential for passive, personalized loneliness monitoring.
- Adoption depends on user autonomy, emotional sensitivity, and contextual integration.
- Future development requires focus on modularity, transparency, and integration within care infrastructures.
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