Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach
Mobile Health (mHealth) applications have demonstrated considerable potential in supporting chronic disease self-management; however, they remain underutilized due to low engagement, limited accessibility, and poor long-term adherence. These issues are particularly prominent among users with chronic disease, whose needs and capabilities vary widely. To address this, Adaptive User Interfaces (AUIs) offer a dynamic solution by tailoring interface features to users’ preferences, health status, and contexts. This article presents a two-stage study to develop and validate actionable AUI design guidelines for mHealth applications. In stage one , an AUI prototype was evaluated through focus groups, interviews, and a standalone survey, revealing key user challenges and preferences. These insights informed the creation of an initial set of guidelines. In stage two , the guidelines were refined based on feedback from 20 end users and evaluated by 43 software practitioners through two surveys. This process resulted in nine finalized guidelines. To assess real-world relevance, a case study of four mHealth applications was conducted, with findings supported by user reviews highlighting the utility of the guidelines in identifying critical adaptation issues. This study offers actionable, evidence-based guidelines that help software practitioners design AUI in mHealth to better support individuals managing chronic diseases.
Authors
- Wei Wang (ORCID: https://orcid.org/0000-0001-6280-0191)
- Hourieh Khalajzadeh (ORCID: https://orcid.org/0000-0001-9958-0102)
- Anuradha Madugalla (ORCID: https://orcid.org/0000-0002-3813-8254)
- John Grundy (ORCID: https://orcid.org/0000-0003-4928-7076)
- Humphrey O. Obie (ORCID: https://orcid.org/0000-0002-6322-2984)
Institutions
- Deakin University (AU)
- Monash University (AU)
Publication Details
- Journal
- ACM Transactions on Software Engineering and Methodology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1145/3731750
- Citations
- 9
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 25.34