Objective: To identify and synthesize evidence on the barriers and facilitators to older adults' acceptance of camera-based active and assisted living (AAL) technologies in the home.
Introduction: Camera-based AAL technologies have been heralded as an important solution to population ageing. By leveraging state-of-the-art computer vision techniques, camera-based AAL technologies can secure greater levels of safety, health, and independence for older adults whilst benefiting their desires to age-in-place. However, these technologies face widespread rejection and are at present scarcely used. A critical first step toward enhancing older adults' acceptance and uptake of camera-based AAL technologies is to understand the barriers and facilitators to their acceptance of said technology.
Inclusion criteria: This review will consider primary studies reporting data on the barriers and facilitators to the acceptance of camera-based AAL technologies among community-dwelling older adults aged 60 and above. No date or language restrictions will be applied.
Methods: Following JBI scoping review methodology, key electronic databases ( e.g., MEDLINE, CINAHL, Embase, Web of Science, ACM Digital Library, IEEE Xplore) and the grey literature ( e.g., Google Scholar) will be searched to locate both unpublished and published articles of relevance. Retrieved citations will undergo independent screening against pre-defined eligibility criteria. Data will be independently extracted and mapped to the Theoretical Domains Framework with guidance from a pre-piloted coding manual. Results will be presented in tabular form accompanied by a narrative summary of barriers and facilitators.
Keywords: active and assisted living; ambient assisted living; computer vision; older adults; technology acceptance.
Copyright: © 2023 Tham NAQ et al.