Abstract

AbstractObjectiveThis scoping review systematically analyzes empirical research evidence on the acceptance and effectiveness of AI technology for older adults' social connectedness with a focus on sociocultural factors from an ecological perspective.BackgroundThe global aging population faces significant challenges, including physical decline and social isolation. AI assistive technologies may offer promising solutions to support independent daily activities and improve social connectedness with family and community. Various facilitators and barriers were known to influence the acceptance and effectiveness of these technologies in promoting the well‐being of older adults.MethodUsing Arksey and O'Malley's (2005) framework, we examined 30 peer‐reviewed articles identified from three major databases (Web of Science, Embase, and IEEE Xplore).ResultsThe review revealed a range of research characteristics and technologies involved. AI technologies such as social robots and telepresence systems were effective in reducing loneliness and enhancing social connectedness. Key factors affecting the technology acceptance and effectiveness included technological features, sociodemographic characteristics of individual users (e.g., age, health status, gender, educational background and prior experience with technology, marital status, and living arrangements), and cultural relevance.ConclusionA sociocultural perspective is crucial to understand heterogeneity in technology use and its effectiveness among older adults.ImplicationsFuture research should focus on customization based on cultural relevance, sustainable effects, and robust research methodologies to develop effective and inclusive AI technologies for older adults and their families.

Full Text

Published Version

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.