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 journalArticlepeer-review

14 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)169-176
JournalInteracting with Computers
Issue number2
Publication statusPublished - 2014

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