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Integrating the users in the design of a robot for making Comprehensive Geriatric Assessments (CGA) to elderly people in care centers

机译:将用户整合到机器人设计中,以便对护理中心的老年人进行全面的老年医学评估(CGA)

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Comprehensive Geriatric Assessment (CGA) is a multidimensional and multidisciplinary diagnostic instrument that helps provide personalized care to the elderly, by evaluating their physical and mental state. In a social and economic context of growing ageing populations, medical experts can save time and effort if provided with interactive tools to efficiently assist them in doing CGAs, managing standardized tests or data collection. Recent research proposes the use of social robots as the central part of these tools. These robots must be able to unfold all functionalities that questionnaires or motion-based tests require, including natural language, face tracking and monitoring, human motion capture and so on. But another issue is the robot's acceptability and trust by the end-users, both patients (elderly people) and clinicians: the robot needs to be able to engage with the patients during the interaction sessions, and must be perceived as a useful and efficient tool by the clinicians. This paper presents the acquisition of new user requirements for CLARC, through participatory and user-centered design approach, to inform the improvement of both interface and interaction. Thirty eight persons (elderly people, caregivers and health professionals) were involved in the design process of CLARC, based on user-centered methods and techniques of Human-Computer Interaction discipline.
机译:综合老年医学评估(CGA)是一种多维,多学科的诊断工具,可通过评估老年人的身心状况,帮助他们提供个性化护理。在人口不断老龄化的社会和经济环境中,医学专家可以通过互动工具有效地协助他们进行CGA,管理标准化测试或数据收集,从而节省时间和精力。最近的研究提出使用社交机器人作为这些工具的核心部分。这些机器人必须能够展开问卷或基于运动的测试所需的所有功能,包括自然语言,面部跟踪和监视,人体运动捕捉等。但是另一个问题是机器人在最终用户(患者(老年人)和临床医生)中的可接受性和信任度:机器人需要在互动过程中能够与患者互动,并且必须被视为一种有用且有效的工具由临床医生。本文介绍了通过参与式和以用户为中心的设计方法获取CLARC的新用户需求,以告知界面和交互功能的改进。基于人机交互学科以用户为中心的方法和技术,有38人(老年人,护理人员和卫生专业人员)参与了CLARC的设计过程。

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