{"title":"A sociocultural perspective on AI assistive technology for older adults' social connectedness: A scoping review","authors":"Soobin You, Heejeong Choi","doi":"10.1111/fare.13128","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>This 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.</p>\n </section>\n \n <section>\n \n <h3> Background</h3>\n \n <p>The 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.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>Using 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).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>A sociocultural perspective is crucial to understand heterogeneity in technology use and its effectiveness among older adults.</p>\n </section>\n \n <section>\n \n <h3> Implications</h3>\n \n <p>Future 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.</p>\n </section>\n </div>","PeriodicalId":48206,"journal":{"name":"Family Relations","volume":"74 3","pages":"1080-1097"},"PeriodicalIF":1.7000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Family Relations","FirstCategoryId":"90","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/fare.13128","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FAMILY STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
This 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.
Background
The 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.
Method
Using 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).
Results
The 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.
Conclusion
A sociocultural perspective is crucial to understand heterogeneity in technology use and its effectiveness among older adults.
Implications
Future 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.
本综述系统分析了人工智能技术对老年人社会联系的接受度和有效性的实证研究证据,并从生态学角度关注社会文化因素。全球老龄化人口面临着重大挑战,包括身体衰退和社会孤立。人工智能辅助技术可能提供有前途的解决方案,以支持独立的日常活动,改善与家庭和社区的社会联系。已知有各种促进因素和障碍会影响这些技术在促进老年人福祉方面的接受程度和有效性。方法使用Arksey和O'Malley(2005)的框架,我们检查了从三个主要数据库(Web of Science, Embase和IEEE Xplore)中确定的30篇同行评议文章。结果综述揭示了一系列的研究特点和涉及的技术。社交机器人和远程呈现系统等人工智能技术在减少孤独感和增强社交联系方面很有效。影响技术接受度和有效性的关键因素包括技术特征、个人用户的社会人口特征(如年龄、健康状况、性别、教育背景和以前的技术经验、婚姻状况和生活安排)以及文化相关性。结论社会文化视角对于理解老年人技术使用的异质性及其有效性至关重要。未来的研究应侧重于基于文化相关性、可持续影响和稳健的研究方法的定制,为老年人及其家庭开发有效和包容的人工智能技术。
期刊介绍:
A premier, applied journal of family studies, Family Relations is mandatory reading for family scholars and all professionals who work with families, including: family practitioners, educators, marriage and family therapists, researchers, and social policy specialists. The journal"s content emphasizes family research with implications for intervention, education, and public policy, always publishing original, innovative and interdisciplinary works with specific recommendations for practice.