Designing Adaptive User Interfaces for mHealth Applications in Chronic Disease

Chronic diseases are long lasting conditions with persistent effects. Chronic conditions are becoming increasingly common and are a priority for action in the health sector. A few examples of the chronic diseases targeted are diabetes, kidney disease and congestive heart failure. Several studies have shown that using well-designed disease management apps has many benefits. Common feature among the majority of these applications is the patients’ ability to track/monitor personal health information. A poorly designed user interface will discourage the user from accepting the application. There is no single recipe for the design of a successful UI. What if the interface fit its performance to the goals, tasks, interests and other characteristics of users with chronic condition? What’s more, people living with a chronic condition will need to manage it long term, perhaps for the rest of their lives. Which may require the system dynamically adapt its behaviour to the requirements of the user- system on the way. What if an interface could adapt over time, to meet the needs of a user?

This research project first followed a systematic literature review (SLR) methodology to understand the issues related to chronic disease mobile applications and the trend of adaptive user interface for these applications. For the further step, we will focus on applying a modelling approach that captures the complexity of adaptive User interface targeting chronic disease. Our goal was to provide both the patient and potential patients with technology that can help in the management of their chronic conditions, but not to overwhelm them with tools that were not user friendly.

Publications

Project summary

Project Team

Wei Wang (PhD Candidate),  Prof John Grundy,  Dr Hourieh Khalajzadeh, Dr Anuradha Madugalla, Dr Humphrey Obie