Department of Occupational Therapy, Poznań University of Medical Sciences, Poznań, Poland.
Institute of Robotics and Machine Intelligence, Poznań University of Technology, Poznań, Poland.
Med Sci Monit. 2023 Sep 8;29:e941205. doi: 10.12659/MSM.941205.
BACKGROUND While there is a growing body of research examining opinions on social robots in elderly care, there is a lack of comprehensive studies investigating the underlying factors influencing these opinions. The Godspeed Questionnaire Series (GQS) measures perceptions related to human-robot interactions (HRIs). The Comprehensive Geriatric Assessment (CGA) is widely used to evaluate physical, cognitive, and social functions of older patients. The EASYCare 2010 Standard (EC) is a tool for assessing unmet needs in older individuals. TIAGo, a social humanoid robot, integrates perception, navigation, and HRI capabilities. This study aimed to identify the determinants of perception following interactions between older individuals and TIAGo, utilizing the GQS, selected CGA items, and EC. MATERIAL AND METHODS We analyzed a database of opinions from older individuals who interacted with TIAGo, based on the Users' Needs, Requirements, and Abilities Questionnaire. We examined the relationships between the robot's roles (companion/assistant/useful device), its assistive/social functions, and various characteristics of the older participants. RESULTS The study included 161 participants (mean age: 75.2±9.8 years), comprising 89 women and 113 institutionalized individuals. Positive correlations were observed between the robot's role, its functions, and the participants'; perceptions across most evaluated parameters (Anthropomorphism, Animacy, Likeability, Perceived intelligence, Perceived safety). Only a few individual correlations were found for other parameters. CONCLUSIONS The primary determinant of older individuals' opinions was their perception of the robot. Therefore, involving older adults in the co-design process of such robots is crucial. Additionally, a paradigm shift is needed in the study of humanoid social robots, focusing on successful aging rather than deficits associated with aging.
尽管越来越多的研究关注老年人护理中对社交机器人的看法,但缺乏全面研究调查影响这些看法的潜在因素。Godspeed 问卷系列(GQS)测量与人机交互(HRI)相关的感知。综合老年评估(CGA)广泛用于评估老年患者的身体、认知和社会功能。EASYCare 2010 标准(EC)是评估老年人未满足需求的工具。TIAGo 是一种具有感知、导航和 HRI 能力的社交人形机器人。本研究旨在利用 GQS、选定的 CGA 项目和 EC,确定老年人与 TIAGo 互动后感知的决定因素。
我们分析了基于用户需求、要求和能力问卷与 TIAGo 互动的老年人意见的数据库。我们研究了机器人的角色(陪伴/助手/有用设备)、其辅助/社交功能以及老年人参与者的各种特征之间的关系。
研究包括 161 名参与者(平均年龄:75.2±9.8 岁),其中 89 名女性和 113 名机构化个体。在大多数评估参数(拟人化、生动性、喜欢程度、感知智力、感知安全性)中,观察到机器人角色、功能与其参与者感知之间存在正相关关系。只有少数其他参数存在个体相关性。
老年人意见的主要决定因素是他们对机器人的感知。因此,让老年人参与此类机器人的共同设计过程至关重要。此外,需要在人形社交机器人的研究中转变范式,关注成功老龄化,而不是与老龄化相关的缺陷。