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【论文】Jiao, FB(Jiao, Fengbo),Li, MY,Liu, M(刘敏),Zhang, Q(张泉).Addressing loneliness by AI chatbot: a qualitative study of empty-nest elderly

发布者:杜红凯 发布时间:2026-03-12 浏览次数:10

摘要:Background Loneliness among empty-nest older adults is a growing public health concern with complex psychosocial consequences. AI chatbots are increasingly integrated into daily life, yet little is known about how empty-nest older adults incorporate these agents into their daily interactions to address loneliness. Objectives This study examines how empty-nest older adults engage with AI chatbots in routine communication to mitigate loneliness, emphasizing patterns of engagement rather than assessing effectiveness. Methods Semistructured interviews were conducted to collect data. A total of 18 participants were included in this study. Interview transcriptions were coded and analysed using thematic analysis. Results Participants engaged with the chatbot as a versatile communicative resource that provided a safe outlet for self-expression and narrative voice, fostered experiences of emotional care and empathy, and enabled cognitively and emotionally stimulating recreational interactions. It also supported imaginative role-playing that restored agency and social scripts, served as a source of informal counseling, and facilitated reconnection with both offline and online social networks. Together, these modes represented diverse, experience-based strategies through which the chatbot was woven into daily efforts to manage loneliness. Conclusions The findings advance conceptualizations of gerontechnology as a communicative practice and suggest that policy, design, and service frameworks should treat AI companions as socially embedded tools requiring ethical, accessible, and context-sensitive integration. Clinical trial number Not applicable.

关键词:Empty-nest elderly; Loneliness; Social isolation; AI chatbot; Gerontechnology

原文载于:https://webofscience.clarivate.cn/wos/woscc/full-record/WOS:001696132900007


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邮政编码:266100
中国海洋大学国际事务与公共管理学院 © All Rights Reserved