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标 题: (Un) Intended Consequences of Social Robot Adoption in Aged Care: A Hybrid Literature Review
社会机器人在养老护理中应用的(非)预期后果:一项混合文献综述
作 者: Seyed Mohammad Sadegh Khaksar
Tahereh Maghsoudi
Marzieh Soleimani
Khaled Nawaser
Atefeh Saki
Hamed Jahani
关键词: Social robot  [社交机器人]
Intended and unintended consequences  [ 预期与非预期后果]
Ambivalence  [ 矛盾心理]
Systematic literature review  [ 系统性文献综述]
Text mining  [ 文本挖掘]
出版年: 2025
期刊名: International Journal of Social Robotics
社会机器人国际杂志
年卷期:
摘 要: There is a noticeable gap in reviews about the overarching intellectual structure of literature on social robots in aged care. Most reviews focused on the intended benefits of social robots in specific contexts, such as companion robots for dementia or assistive robots for elderly individuals with unique challenges, while neglecting the unintended consequences of their adoption. Despite the potential advantages of social robots, such as improved care and efficiency, they can also introduce emotional, psychological, and societal challenges. This duality calls for an ambivalent perspective on robot integration in care services. To review these complexities, we undertook a hybrid systematic and text mining literature review focused on the concept of ambivalence. Analysing 124 empirical studies on social robots, our review highlights six topics that may receive significant attention in future studies: privacy concerns, social engagement, medical monitoring, adaptability and learning, affordability, and companionship. By emphasising the significance of recognising ambivalence in social robot adoption, we highlighted the necessity of addressing both the benefits and challenges in future social robot research.

关于社会机器人在养老护理中整体知识结构的评论存在明显空白。大多数评论聚焦于社会机器人在特定情境下的预期益处,例如用于痴呆症患者的陪伴机器人或为面临独特挑战的老年人提供帮助的辅助机器人,却忽视了其应用带来的非预期影响。尽管社会机器人可能带来改善照护和提高效率等潜在优势,但也可能引发情感、心理及社会层面的挑战。这种双重性要求我们对机器人在护理服务中的融合采取一种矛盾的态度。为了探讨这些复杂性,我们开展了一项结合系统综述与文本挖掘方法的文献回顾,重点分析“矛盾性”这一概念。通过对124项关于社会机器人的实证研究进行分析,本综述突出了六个未来研究中值得重点关注的主题:隐私问题、社会互动、医疗监测、适应性与学习能力、可负担性以及陪伴关系。通过强调在采用社交机器人时识别矛盾心理的重要性,我们突显了未来社交机器人研究中必须同时应对其优势与挑战的必要性。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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