Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence

Explainable AI can help close the digital divide for older adults: The research demonstrates that when AI systems used in e-health interfaces are designed to explain their reasoning (rather than operating as "black boxes"), older adults can interact with them more effectively, potentially addressing age-related barriers to digital health tools.

Clear visualization and straightforward explanations are essential design features: The study identifies intuitive visual design and simple, direct explanations as critical factors for creating healthcare technology that older users can actually use, suggesting that responsible AI design requires prioritizing clarity over complexity.

Transparency in healthcare AI builds trust and usability: By emphasizing the importance of understandability in AI-driven healthcare solutions, the research highlights that older adults need to understand why an AI system is making health recommendations—not just receive the recommendations—for the technology to be truly useful and trustworthy.

User research with older adults should directly inform AI design: The mixed-methods approach combining interviews, usability testing, and user experience research shows that responsible AI development requires actually listening to and studying the specific needs of the populations who will use these systems, rather than designing for a generic user.