Intuitive Interfaces for Smart Digital Health

Over the years, intuitive interfaces, which are easy to use and require minimal cognitive effort, have been central to the design and development of applications across several domains, including healthcare. However, there are still gaps and challenges as users' needs become increasingly sophisticated, diverse, and dynamic. This chapter presents a comprehensive discussion of intuitive interfaces, drawing on human-computer interaction and cognitive psychology research. We explore diverse theoretical foundations, design principles, and practical applications while examining how intuitive interfaces align with users' mental models and expectations including reducing cognitive load and enhancing user experience. Our analysis emphasizes key elements contributing to interface intuitiveness including consistency, familiarity, and feedback mechanisms. We further examine intuitive interfaces in practice through healthcare application case studies, highlighting their significant impact on both usability metrics and health outcomes. Finally, to address current challenges, we propose the CAAPS framework, which has five pillars: Cognitive Alignment, AI Integration, Adaptation and Personalization, Persuasion, and Scalability, to guide future work in addressing current gaps and challenges.