Socially assistive robots (SARs) have shown promise in the care of people with dementia and in mitigating behavioural and psychological symptoms of dementia. Although SARs are continually tested for efficacy, no current literature outlines a comprehensive strategy that industrial designers may employ to progress the technology of SARs. It was, therefore, essential to expand on existing literature by providing a straightforward approach to SAR design with the recommended design attributes. A systematic review was conducted to formulate recommendations for designing SARs to improve the quality of life of people with dementia. Six databases, including CINAHL, Embase, IEEE, Medline, ProQuest, and Scopus, were searched for relevant articles published between 2011 and 2022. Covidence software was used for screening, data extraction and quality testing. Of the 160 references extracted, 16 studies met the study inclusion criteria. The studies were predominately small sample sizes using various robotic platforms and technologies. Incorporating personal preferences linked to a user’s life experience and choice is a crucial ability of SARs. Natural speech communication is also an important design attribute. However, the overwhelming conclusion is that more research is needed on aesthetics, materials, and interaction capabilities. All stakeholders should be part of a holistic user-centred design process to ensure a fit-for-purpose product.

社交辅助机器人（SAR）在护理痴呆症患者以及减轻痴呆症的行为和心理症状方面显示出了希望。尽管 SAR 的功效不断得到测试，但目前还没有文献概述工业设计师可以用来改进 SAR 技术的综合策略。因此，有必要通过提供具有推荐设计属性的直接 SAR 设计方法来扩展现有文献。进行了系统审查，以制定设计 SAR 的建议，以改善痴呆症患者的生活质量。检索了CINAHL、Embase、IEEE、Medline、ProQuest和Scopus等6个数据库，查找2011年至2022年发表的相关文章。使用Covidence软件进行筛选、数据提取和质量测试。在提取的 160 篇参考文献中，16 篇研究符合研究纳入标准。这些研究主要是使用各种机器人平台和技术的小样本量。将个人偏好与用户的生活经历和选择结合起来是 SAR 的一项重要能力。自然语音交流也是一个重要的设计属性。然而，压倒性的结论是，需要在美学、材料和交互能力方面进行更多研究。所有利益相关者都应该参与以用户为中心的整体设计流程，以确保产品适合用途。