Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project

Ian Cleland, Chris D. Nugent, Sally I McClean, Phillip J. Hartin, Chelsea Sanders, Mark Donnelly, Shuai Zhang, Bryan Scotney, Ken Smith, Maria C. Noron, JoAnn C. Tschanz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)
21 Downloads (Pure)

Abstract

The acceptance of technology is a crucial factor in successfully deploying technology solutions in healthcare. Our previous research has highlighted the potential of modelling user adoption from a range of environmental, social and physical parameters. This current work aims to build on the notion of predicting technology adoption through a study investigating the usage of a reminding application deployed through a mobile phone. The TAUT project is currently recruiting participants from the Cache County Study on Memory in Aging (CCSMA) and will monitor participants over a period of 12 months. Information relating to participants’ compliance with usage of the reminding application, details of cognitive assessments from the CCSMA and medical and genealogical related details from the Utah Population Database (UPDB) will be used as inputs to the development of a new adoption model. Initial results show, that with an unscreened dataset, it is possible to predict refusers and adopters with an F-measure of 0.79.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherSpringer
Pages266-274
Number of pages8
Volume8868
ISBN (Print)978-3-319-13105-4
DOIs
Publication statusPublished - 2 Dec 2014
EventInternational Work-Conference on Ambient Assisted Living (IWAAL) - Belfast, UK
Duration: 2 Dec 2014 → …

Conference

ConferenceInternational Work-Conference on Ambient Assisted Living (IWAAL)
Period2/12/14 → …

Fingerprint Dive into the research topics of 'Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project'. Together they form a unique fingerprint.

Cite this