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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. Norton
  • JoAnn T. Tschanz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8868)

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.

Keywords

Technology adoption Assistive technology dementia Reminding Technology 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ian Cleland
    • 1
  • Chris D. Nugent
    • 1
  • Sally I. McClean
    • 2
  • Phillip J. Hartin
    • 1
  • Chelsea Sanders
    • 3
  • Mark Donnelly
    • 1
  • Shuai Zhang
    • 1
  • Bryan Scotney
    • 2
  • Ken Smith
    • 4
  • Maria C. Norton
    • 3
  • JoAnn T. Tschanz
    • 3
  1. 1.Computer Science Research Institute and School of Computing and MathematicsUniversity of UlsterNewtownabbeyUK
  2. 2.Computer Science Research Institute and School of Computing and Information EngineeringUniversity of UlsterColeraineUK
  3. 3.Department of PhycologyUtah State UniversityLoganUSA
  4. 4.Population Sciences, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUSA

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