痴呆症患者社交辅助机器人的设计属性:系统回顾

IF 3.8 2区 计算机科学 Q2 ROBOTICS International Journal of Social Robotics Pub Date : 2023-12-08 DOI:10.1007/s12369-023-01087-w
Matthew Green, Dzung Dao, Wendy Moyle
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引用次数: 0

摘要

社交辅助机器人(SARs)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大有可为。虽然人们一直在测试 SAR 的功效,但目前没有任何文献概述了工业设计师可用于推动 SAR 技术发展的综合策略。因此,有必要在现有文献的基础上进行扩展,为 SAR 的设计提供一个简单明了的方法,并推荐设计属性。我们进行了一项系统性综述,旨在为提高痴呆症患者的生活质量提出设计合成孔径雷达的建议。研究人员在 CINAHL、Embase、IEEE、Medline、ProQuest 和 Scopus 等六个数据库中检索了 2011 年至 2022 年间发表的相关文章。使用 Covidence 软件进行筛选、数据提取和质量检测。在提取的 160 篇参考文献中,有 16 项研究符合研究纳入标准。这些研究主要采用不同的机器人平台和技术,样本量较小。将与用户生活经验和选择相关联的个人喜好纳入其中是合成孔径雷达的一项重要能力。自然语音交流也是一项重要的设计属性。然而,压倒性的结论是,还需要对美学、材料和交互能力进行更多的研究。所有利益相关者都应参与以用户为中心的整体设计过程,以确保产品的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Design Attributes of Socially Assistive Robots for People with Dementia: A Systematic Review

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.

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来源期刊
CiteScore
9.80
自引率
8.50%
发文量
95
期刊介绍: Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. The journal covers a broad spectrum of topics related to the latest technologies, new research results and developments in the area of social robotics on all levels, from developments in core enabling technologies to system integration, aesthetic design, applications and social implications. It provides a platform for like-minded researchers to present their findings and latest developments in social robotics, covering relevant advances in engineering, computing, arts and social sciences. The journal publishes original, peer reviewed articles and contributions on innovative ideas and concepts, new discoveries and improvements, as well as novel applications, by leading researchers and developers regarding the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects in the area, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence, pertaining to social robotics.
期刊最新文献
Time-to-Collision Based Social Force Model for Intelligent Agents on Shared Public Spaces Investigation of Joint Action in Go/No-Go Tasks: Development of a Human-Like Eye Robot and Verification of Action Space How Non-experts Kinesthetically Teach a Robot over Multiple Sessions: Diversity in Teaching Styles and Effects on Performance The Child Factor in Child–Robot Interaction: Discovering the Impact of Developmental Stage and Individual Characteristics Is the Robot Spying on me? A Study on Perceived Privacy in Telepresence Scenarios in a Care Setting with Mobile and Humanoid Robots
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