Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults

AI-based lifestyle monitoring systems are increasingly explored in long-term care for older adults. While these systems appear promising, insight into interface design requirements from the perspectives of nurses and informal caregivers remains limited. This study aimed to co-design and evaluate interface designs with nurses and informal caregivers in order to formulate design requirements for AI-based lifestyle monitoring systems in long-term care for older adults. A human-centered, iterative design approach was applied, consisting of a co-design session to develop a shared care scenario and personas, focus groups to explore interface design preferences, the design of interface prototypes, and two iterative rounds of prototype testing. The findings indicate that interface design needs to address clear visual presentation, meaningful structuring of information, well-defined notifications, different user roles, ease of use, system integration, and support for caregivers’ own judgment. The study resulted in a consolidated set of design requirements for AI-based lifestyle monitoring systems in long-term care.