Towards Adaptive User Interfaces: mHealth Applications Targeting Chronic Disease

Supervisors

• Prof John Grundy (Main Supervisor)- Monash Univeristy, Melbourne, AU
• Dr Hourieh Khalajzadeh - Deakin Univeristy, Melbourne, AU
• Dr Anuradha Madugalla - Deakin Univeristy, Melbourne, AU
• Dr Humphrey O. Obie - Monash Univeristy, Melbourne, AU

Publications

• ChroniUXMag: A Preliminary Framework for mHealth App Adaptation in Chronic Disease Management
• Development of an Adaptive User Support System Based on Multimodal Large Language Models
• End-Users vs Software Practitioners: Recruitment Challenges and Strategies in Software Engineering Research
• Adaptive User Interfaces for Software Supporting Chronic Disease
• Designing Adaptive User Interfaces for mHealth applications targeting chronic disease: A User-Centric Approach”
• Adaptive user interfaces in systems targeting chronic disease: a systematic literature review
• Towards Adaptive User Interfaces: A Model-Driven Approach for mHealth Applications Targeting Chronic Disease
• Adaptive user interfaces for software supporting chronic diseases

Background

Chronic diseases are long-lasting conditions with persistent effects. Key points include:

• Prevalence: Almost half of Australians were estimated to have one or more chronic diseases in 2020–21.
• Impact: Nearly 9 in 10 deaths in 2021 are associated with chronic diseases.

Characteristics of chronic diseases:

• Highly heterogeneous, affecting patients differently.
• Phases of chronic disease change over time, often including multimorbidity.
• Typically long-lasting and span a person’s lifetime.
• Involves diverse backgrounds and varying psychological and cognitive traits.

Adaptive User Interfaces (AUIs)

An AUI tailors itself to users based on preferences, behaviors, and needs, including:

• Adaptivity: Automatic adaptation in response to context changes.
• Adaptability: Allows manual modifications by users.
• Mix of Both: Combines adaptability and adaptivity for a semi-automatic approach.

State of the Art

Approaches in AUIs differ for health professionals and patients:

• Health Professionals: Medical decision support systems and smart hospital services.
• Patients: Architectures for patient monitoring and context-aware monitoring for digital homes.

Current Progress and Future Work

Current studies focus on systematic literature reviews of AUIs in chronic disease management and developing AUI prototypes based on these insights. Future work includes designing a framework for AUI generation and evaluating it from both technical and human perspectives.