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A Knowledge-Driven Approach to Predicting Technology Adoption among Persons with Dementia

Patterson, Timothy, McClean, Sally, Langdon, Patrick, Zhang, Shuai, Nugent, CD and Cleland, Ian (2014) A Knowledge-Driven Approach to Predicting Technology Adoption among Persons with Dementia. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sheraton Chicago Hotel and Towers, Chicago, Illinois, USA. IEEE. 4 pp. [Conference contribution]

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DOI: 10.1109/EMBC.2014.6944978

Abstract

As the demographics of many countries shift towards an ageing population it is predicted that the prevalence of diseases affecting cognitive capabilities will continually increase. One approach to enabling individuals with cognitive decline to remain in their own homes is through the use of cognitive prosthetics such as reminding technology. However, the benefit of such technologies is intuitively predicated upon their successful adoption and subsequent use. Within this paper we present a knowledge-based feature set which may be utilized to predict technology adoption amongst Persons with Dementia (PwD). The chosen feature set is readily obtainable during a clinical visit, is based upon real data and grounded in established research. We present results demonstrating 86% accuracy in successfully predicting adopters/non-adopters amongst PwD.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:30862
Deposited By: Dr Timothy Patterson
Deposited On:21 Jan 2015 11:15
Last Modified:21 Jan 2015 11:15

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