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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Barriers and Facilitators to Older Adults' Acceptance of Camera-Based Active and Assisted Living Technologies: A
Natalie An Qi Tham1, Anne-Marie Brady1, Martina Ziefle2
1Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.
Background And Objectives:
Camera-based active and assisted living (AAL) technologies are an eminent solution to population aging but are frequently rejected by older adults. The factors that influence older adults' acceptance of these technologies remain poorly understood, which may account for their lagging diffusion. This scoping review aimed to identify the barriers and facilitators to older adults' acceptance of camera-based AAL technologies, with a view to facilitating their development and widespread dissemination.
Research Design And Methods:
MEDLINE, CINAHL, Embase, IEEE Xplore Digital Library, ACM Digital Library, Web of Science, and gray literature databases were searched from inception to June 2024. Publications that reported data on barriers and facilitators to the acceptance of camera-based AAL technologies among community-dwelling older adults aged 60 and above were eligible. Barriers and facilitators were extracted and mapped to the theoretical domains framework, thematically clustered, and narratively summarized.
Results:
A total of 28 barriers and 19 facilitators were identified across 50 included studies. Dominant barriers concerned the technology's privacy-invasive, obtrusive, and stigmatizing qualities. Salient facilitators included the perceived usefulness of, and older adults' perceived need for, the technology.
Discussion And Implications:
Results inform practitioners' selection of strategies to promote older adults' acceptance of camera-based AAL technologies. These efforts should transcend the conventional focus on pragmatics and give credence to psychological, social, and environmental influences on technology acceptance.
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