HYPOTHESIS AND THEORY article
Front. Health Serv.
Sec. Health Policy and Management
Volume 5 - 2025 | doi: 10.3389/frhs.2025.1649764
This article is part of the Research TopicArtificial Intelligence in Aging: Innovations and Applications for Elderly CareView all 5 articles
"Many hands make light work": Unlocking the Happiness Code of Smart Elderly Care
Provisionally accepted
- Business School, Shandong Normal University, Jinan, China
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With the rapid advancement of smart elderly care technologies, AI applications for seniors are becoming increasingly prevalent, and s smart elderly care is a vital solution to traditional elderly care dilemmas. But most studies focus on a single subject or a static perspective, and there's insufficient research on how dynamic collaboration among multiple parties impacts seniors' quality of life. This study develops a four-party game model involving the government, elderly care institutionsnursing homes, AI technology providerstech firms, and seniors. Through this model, it reveals the deep-seated connections between policy guidance, tech investment, service quality, and user trust. The findings indicate that when the government strengthens supervision, elderly care institutionsnursing homes actively adopt smart technologies, businesses focus on high-quality services, and seniors actively participate, a virtuous cycle within the smart elderly care system can enhance seniors' happiness. Further analysis suggests that enhancing user perceived utility, strengthening reputation-related constraints on businesses, and improving policy incentive mechanisms can raise seniors' happiness and promote the system's long-term development. This study proposes new ideas for building a multi-party collaborative elderly care ecosystem and offers more human-centered action paths for policymakers, tech developers, and elderly care institutionsnursing homes.
Keywords: Smart elderly care, artificial intelligence, elderly happiness, Ageing & wellbeing people, evolutionary game
Received: 26 Jun 2025; Accepted: 18 Aug 2025.
Copyright: © 2025 Jiang, Gu and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Daokui Jiang, Business School, Shandong Normal University, Jinan, China
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