Frontiers in Art Research, 2025, 7(4); doi: 10.25236/FAR.2025.070403.
Haoyuan Kong
Department of Design, Myongji University, Yongin, Gyeonggi Province, South Korea
This study designs and optimizes the Jiuban APP, a dual-interface mobile app, to enhance elderly health and safety management for both elderly users and their children. Using the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE), a scientific UI evaluation framework is established. AHP identifies key functional priorities—health monitoring, emergency assistance, and interface layout—while FCE resolves ambiguity in user feedback. The elderly-side interface prioritizes simplicity with large fonts, oversized buttons, high-contrast colors, and intuitive health data visualization. The child-side interface emphasizes functionality, offering remote monitoring, health reminders, and quick consultations. Results show that integrating AHP and FCE enhances user satisfaction and functional adaptability, meeting both elderly users’ needs and their caregivers’ expectations. Future research could explore AI and IoT integration for further personalization in health management.
Elderly Health, Mobile Interface, UI Design, Optimization Design, Fuzzy Comprehensive Evaluation Method
Haoyuan Kong. UI Design and Optimization Research for a Dual-Interface Mobile App for Elderly Health and Safety Management Based on the AHP-FCE Model. Frontiers in Art Research (2025), Vol. 7, Issue 4: 14-23. https://doi.org/10.25236/FAR.2025.070403.
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