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A Collaborative Virtual Game to Support Activity and Social Engagement for Older Adults

机译:支持老年人活动和社交活动的协作虚拟游戏

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Many older adults suffer from Alzheimer's disease or other dementias and have affected cognitive abilities. In general, physical exercise, cognitive stimulation, and social engagement have been found to be beneficial for the physical and mental health of older adults with and without cognitive impairment. In an effort to address these needs, researchers have been developing human-machine interaction (HMI) systems to administer activity-oriented therapies. However, most of these system, while promising, focus on one-on-one interaction with the computer and thus do not support social engagement by involving multiple older adults. In this paper, we present the design and development of a motion-based collaborative virtual environment (CVE) application to support both activity and social engagement. The CVE task is based on a book-sorting activity and has embedded collaborative components to encourage human-human interaction (HHI). The system records quantitative data regarding users' performance, interaction frequency, and social interaction. A preliminary user study was conducted to validate system usability and test on older adults' tolerance and acceptance of the motion-based user interface (UI) as well as the CVE task. The results showed the usability of the motion-based UI and system capability to assess HMI and HHI from recorded quantitative data. The results from post-test and analysis of audio files indicated that the system might be potentially useful. More user study and data analysis need to be conducted to further investigate the CVE system.
机译:许多老年人患有阿尔茨海默氏病或​​其他痴呆症,并且影响了认知能力。通常,发现体育锻炼,认知刺激和社交参与对于有或没有认知障碍的老年人的身心健康都是有益的。为了满足这些需求,研究人员一直在开发人机交互(HMI)系统来管理面向活动的疗法。但是,这些系统中的大多数虽然很有希望,但都专注于与计算机进行一对一的交互,因此无法通过让多个老年人参与来支持社交活动。在本文中,我们介绍了基于运动的协作虚拟环境(CVE)应用程序的设计和开发,以支持活动和社交参与。 CVE任务基于书本分类活动,并且具有嵌入式协作组件以鼓励人与人之间的互动(HHI)。该系统记录有关用户表现,互动频率和社交互动的定量数据。进行了初步的用户研究,以验证系统的可用性,并测试老年人的容忍度和对基于运动的用户界面(UI)以及CVE任务的接受程度。结果显示了基于运动的UI的可用性以及系统从记录的定量数据中评估HMI和HHI的能力。音频文件的后期测试和分析结果表明,该系统可能很有用。需要进行更多的用户研究和数据分析,以进一步研究CVE系统。

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