Abdullah Alanazi
Adv. Artif. Intell. Mach. Learn., XX (XX):-
1. Abdullah Alanazi: King Saud bin Abdulaziz University for Health Sciences (KSAU-HS)King Abdullah International Medical Research Center (KAIMRC)
DOI: 10.54364/AAIML.2026.62290
Article History: Received on: 04-Oct-25, Accepted on: 29-Dec-25, Published on: 16-Mar-26
Corresponding Author: Abdullah Alanazi
Email: abdullahgcc@gmail.com
Citation: Abdullah T Alanazi. Adaptive User Interfaces for Personalized Health Informatics Tools: Designing Interfaces That Dynamically Adjust Based on User Preferences and Needs. Advances in Artificial Intelligence and Machine Learning. 2026. (Ahead of Print). https://dx.doi.org/10.54364/AAIML.2026.62290
Background:Adoption of digital health tools in healthcare has been suboptimal in light of its promises to healthcare. This partially can be attributed to lack of personalization, static design, and hence lack of user-centered design approaches. This study aims at exploring users’ perceptions toward having Adaptive User Interfaces (AUIs) approach in digital health tools. Methods:This is a descriptive, survey-based study in which active users of digital health were assessed about their perceptions toward AUIs. The survey was assessing users’ needs, functional expectations, adaptability, usability, and trust. Before, ethical approval was achieved conducting the study. Findings: 137 replies were obtained and the sample was primarily young (66% under 30) and exhibited the level of digital literacy (75% high/very high). Participants indicated that they had positive feelings about embracing the use of AUIs, since they offer personalized recommendations (M = 4.5), health goals (M = 4.5) and the capacity of simplified displays (M = 4.5). Usability was appreciated with emphasis on intuitive design and simplifications (M = 4.6, both). Further, the participants acknowledged the importance of having control over personalization (M = 4.1). Interestingly, trust and acceptance were conditional to improved outcomes and transparency (M = 4.6 and 4.1, consecutively). Nevertheless, some concerns were mentioned over excessive personalization, especially with illiterate users. Conclusion:Users demonstrated a demand for adaptive, user-centered digital health tools that are intuitive, culturally aligned, and outcome-driven.