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Output details

11 - Computer Science and Informatics

University of Ulster

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Output 19 of 152 in the submission
Article title

A predictive model for assistive technology adoption for people with dementia

Type
D - Journal article
Title of journal
IEEE Journal of Biomedical and Health Informatics
Article number
n/a
Volume number
n/a
Issue number
n/a
First page of article
1
ISSN of journal
2168-2208
Year of publication
2013
URL
-
Number of additional authors
6
Additional information

<28>The approach developed to technology adoption modelling is based on findings stemming from the MATCH and MATCH-Plus Projects (EP/F063822/1, EP/G012393/1). For the first time, a prediction model has been retrospectively developed based on analysis of data collected from evaluations of 40 people with dementia and their carers who engaged with a video-based reminder system. The findings have been used to secure follow-on funding from the Alzheimer's Association (ETAC-12-242841) in conjunction with Utah State University and the University of Utah to further refine the model, based on data collected from a 12-month study of 125 persons with dementia.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
D - Smart Environments
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-