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The Application of Interpretive Structural Modeling in Diabetes Health Management App Interface Design
Yajing Zou, Xianghui Cao
176 - 186
10.3233/FAIA240020
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 384: International Symposium on World Ecological Design
Abstract

This article aims to optimize the interface design of a diabetes health management app, guided by the Interpretative Structural Modeling (ISM) and Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) models. Through a literature review, 10 key factors influencing app interfaces were identified, and their importance, hierarchical structure, and MICMAC results were extensively studied. Targeted interface recommendations are proposed to meet the specific needs of diabetes patients, ultimately enhancing their quality of life and health.

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