Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866912368225681408 |
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| author | Wang, Wei Grundy, John Khalajzadeh, Hourieh Madugalla, Anuradha Obie, Humphrey O. |
| author_facet | Wang, Wei Grundy, John Khalajzadeh, Hourieh Madugalla, Anuradha Obie, Humphrey O. |
| contents | Mobile Health (mHealth) applications have demonstrated considerable potential in supporting chronic disease self-management; however, they remain under-utilised 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 paper 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 AUIs in mHealth to better support individuals managing chronic diseases |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_08302 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach Wang, Wei Grundy, John Khalajzadeh, Hourieh Madugalla, Anuradha Obie, Humphrey O. Human-Computer Interaction Software Engineering Mobile Health (mHealth) applications have demonstrated considerable potential in supporting chronic disease self-management; however, they remain under-utilised 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 paper 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 AUIs in mHealth to better support individuals managing chronic diseases |
| title | Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach |
| topic | Human-Computer Interaction Software Engineering |
| url | https://arxiv.org/abs/2405.08302 |