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Title: Development of a technology adoption and usage prediction tool for assistive technology for people with dementia
Authors: O'Neill, SA
McClean, SI
Donnelly, MD
Nugent, CD
Galway, L
Cleland, I
Zhang, S
Young, T
Scotney, BW
Mason, SC
Craig, D
Keywords: Assistive technology;User studies;Mobile phones
Issue Date: 2014
Publisher: Oxford University Press on behalf of The British Computer Society
Citation: Interacting with Computers, 26(2): 169 - 176. 2014
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.
Description: This article is available open access through the publisher’s website at the link below. Copyright @ The Authors 2013.
ISSN: 0953-5438
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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