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

Sonja O'Neill, Sally McClean, Mark Donnelly, Chris Nugent, Leo Galway, Ian Cleland, Shuai Zhang, Terry Young, Bryan Scotney, Sarah Mason, David Craig

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.
LanguageEnglish
Pages169-176
JournalInteracting with Computers
Volume26
Issue number2
DOIs
Publication statusPublished - 2014

Cite this

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AU - O'Neill, Sonja

AU - McClean, Sally

AU - Donnelly, Mark

AU - Nugent, Chris

AU - Galway, Leo

AU - Cleland, Ian

AU - Zhang, Shuai

AU - Young, Terry

AU - Scotney, Bryan

AU - Mason, Sarah

AU - Craig, David

PY - 2014

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AB - 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.

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DO - 10.1093/iwc/iwt041

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