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Development of a Technology Adoption and Usage Prediction Tool for Assistive Technology for People with Dementia

O'Neill, Sonja, McClean, Sally, Donnelly, Mark, Nugent, Chris, Galway, Leo, Cleland, Ian, Zhang, Shuai, Young, Terry, Scotney, Bryan, Mason, Sarah and Craig, David (2014) Development of a Technology Adoption and Usage Prediction Tool for Assistive Technology for People with Dementia. Interacting with Computers, 26 (2). pp. 169-176. [Journal article]

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URL: http://dx.doi.org/10.1093/iwc/iwt041

DOI: doi:10.1093/iwc/iwt041

Abstract

In the current work, data gleaned from an assistive technology (reminding technology), which has been evaluated with people with Dementia over a period of several years was retrospectively studied to extract the factors that contributed to successful adoption. The aim was to develop a prediction model with the capability of prospectively assessing whether the assistive technology would be suitable for persons with Dementia (and their carer), based on user characteristics, needs and perceptions. Such a prediction tool has the ability to empower a formal carer to assess, through a very limited amount of questions, whether the technology will be adopted and used.

Item Type:Journal article
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
Computer Science Research Institute > Smart Environments
Computer Science Research Institute > Information and Communication Engineering
ID Code:28955
Deposited By: Dr Mark Donnelly
Deposited On:26 Mar 2014 11:04
Last Modified:05 Oct 2015 10:53

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