CCI & ElderTech
Uncertainty Modelling in Technologies for the Elderly
The Project
This multi-disciplinary project creates a new collaboration between two very strong research groups in computational intelligence and the application of technology in nursing and social care. This project will lead to a feasibility study, prototype analysis software and a series of interactive web resources that explore the role of uncertainty modelling in data analysis that will enhance the care of the elderly. Professors John and Keller are well known for their research experience in uncertainty modelling using fuzzy logic. The two other investigators, Simon Coupland and Mihail Popescu, are both early career researchers who are both already showing strong evidence of internationally recognised research. The topic of care of the elderly is of growing societal importance, this project will enhance the research portfolio of both research groups and will lay the groundwork for future long term collaboration.
The Cross-Discipline Focus
The added-value of this exciting collaboration comes from the unification of nursing and social-care technologists with experts in uncertainty modelling. The people-focused nature of nursing and social-care technology leads to significant challenges in modelling the uncertainties associated with human behaviour. Bringing together the proposed multi-disciplinary team will allow, for the first time, these challenges to be investigated. The central questions that both teams will seek answers to are:
This multi-disciplinary project creates a new collaboration between two very strong research groups in computational intelligence and the application of technology in nursing and social care. This project will lead to a feasibility study, prototype analysis software and a series of interactive web resources that explore the role of uncertainty modelling in data analysis that will enhance the care of the elderly. Professors John and Keller are well known for their research experience in uncertainty modelling using fuzzy logic. The two other investigators, Simon Coupland and Mihail Popescu, are both early career researchers who are both already showing strong evidence of internationally recognised research. The topic of care of the elderly is of growing societal importance, this project will enhance the research portfolio of both research groups and will lay the groundwork for future long term collaboration.
The Cross-Discipline Focus
The added-value of this exciting collaboration comes from the unification of nursing and social-care technologists with experts in uncertainty modelling. The people-focused nature of nursing and social-care technology leads to significant challenges in modelling the uncertainties associated with human behaviour. Bringing together the proposed multi-disciplinary team will allow, for the first time, these challenges to be investigated. The central questions that both teams will seek answers to are:
- What are the primary sources of uncertainty effecting nursing and social-care technologies? It is these sources of uncertainty which, if effectively modelled would enable us to mitigate their impact on the lives of elderly.
- How are these uncertainties currently being dealt with? The uncertainties in this domain are somewhat unique but there are opportunities to learn from how other practitioners model similar uncertainties.
- Can advanced models of uncertainty be used to better mitigate these problems? Both research groups have significant expertise in fuzzy logic and we anticipate exploring the role of type-2 fuzzy logic (as well as other techniques) in tackling this problem.