An Adaptive User Interface in Healthcare

• Published in: Procedia computer science Vol. 56; pp. 49 - 58
• Main Authors: Shakshuki, Elhadi M., Reid, Malcolm, Sheltami, Tarek R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2015
• Subjects: Adaptive User Interface; Healthcare Technology; Multi-Agent Systems; Reinforcement Learning; Reinforcement Learning; Healthcare Technology; Adaptive User Interface; Multi-Agent Systems
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2015.07.182

Healthcare is a broad subject with many different challenges, yet it is important and relatable to everyone. The aging Baby Boomer generation is an important healthcare issue today. In Canada, and many other developed nations, the number of citizens reaching the age of retirement and seniority is growing faster than the rate of citizens working and providing health related services. As people age they tend to require more frequent checkups and health services, ultimately putting a bigger resource drain on healthcare infrastructure. New advancements in Computer Science and Engineering are allowing the development of next generation applications with the purpose of providing healthcare services in a cost effective and efficient way. This paper proposes a multi-agent system for tracking and monitoring health data for patients. Furthermore, agents within the system use reinforcement learning techniques to build an adaptive user interface for each human user. The actions and behaviour of users are monitored and used to modify their respective user interface over time. To demonstrate the feasibility of the architecture, two scenarios are provided. We conclude with several possible future directions for this research.