Improving User Experience in Healthcare Mobile Applications Through AI-Powered Adaptive Interfaces

Abstract

Digital healthcare platforms, including mobile health applications, telemedicine systems, and electronic medical services, have significantly improved the speed and accessibility of healthcare delivery. However, despite these technological advancements, usability and user experience remain critical concerns. A large number of healthcare applications are still not designed to accommodate users with varying levels of digital literacy, particularly elderly individuals and those unfamiliar with modern technologies. Many systems rely on static interfaces that do not adjust according to user needs, behavior, or emotional state, which often leads to confusion, operational errors, and reduced user retention. Artificial Intelligence offers new possibilities for enhancing the intelligence and usability of healthcare applications. This study introduces an adaptive UX framework that personalizes the interface by analyzing user interactions and emotional patterns. The system continuously monitors user behavior and dynamically modifies interface elements in real time to improve usability and reduce cognitive burden. The proposed approach aims to minimize user effort, decrease interaction errors, and improve overall engagement in digital healthcare environments. A significant contribution of this research is the amalgamation of AI-driven adaptability with emotion-aware interface design, facilitating the creation of more responsive and user-centric healthcare applications.

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