Volume 2,Issue 1
Research on the Presentation Mode and User Cognition of Data Visualization in the UI Design of Health Management APPs
With the rapid growth of health management applications, data visualization has become a central element of user interface (UI) design. Graphical representations such as bar charts, line graphs, donut charts, and radar diagrams help users interpret complex health metrics, yet older adults often face difficulties due to age-related declines in visual acuity, working memory, and processing speed. This study investigates how different visualization modes influence cognitive accessibility and comprehension among older users. Integrating Cognitive Load Theory (CLT) and gerontechnological design principles, a mixed-methods approach was employed to evaluate the comprehension, preferences, and usability of common chart types in health app interfaces. Findings indicate that bar charts and tables yield higher accuracy and faster interpretation, while simplified layouts, direct labeling, high-contrast color schemes, and progressive disclosure effectively reduce cognitive load. The study concludes with a set of design guidelines for age-friendly data visualization in health management applications, contributing to the development of cognitively inclusive and sustainable digital health interfaces.
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