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首页> 外文期刊>International Journal of Social Robotics >The Humanoid Robot NAO as Trainer in a Memory Program for Elderly People with Mild Cognitive Impairment
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The Humanoid Robot NAO as Trainer in a Memory Program for Elderly People with Mild Cognitive Impairment

机译:人形机器人Nao作为培训师在患有轻度认知障碍的老年人的记忆计划中

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Many studies on social interaction have used the humanoid robot NAO. In the present paper, we described our project designed to address the growing unmet need for alternative approaches to slowing the progression of cognitive decline in Mild Cognitive Impairment patients. NAO is the experimental platform used in an ecological setting: a center for the treatment of cognitive disorders and dementia of the Italian health service. This paper describes the study addressed to evaluate the effectiveness of human-robot interaction to reinforce therapeutic behavior and treatments adherence and presents the latest findings of functional tests and users investigation recently conducted. The robot was programmed to implement some tasks from the usual memory-training program protocol. In different training conditions, subjects participated in sessions with the support of NAO or only from the psychologist while the interaction was recorded for subsequent exploration. Data indicated that memory training with NAO resulted in an increase of visual gaze from patients and reinforce of therapeutic behavior reducing, in some cases, depressive symptoms. Unexpectedly, significant changes in prose memory and verbal fluency measures were detected. These findings suggest that further research on robotics in ecological settings is necessary to determine the extent to which they can effectively support clinical practice.
机译:许多关于社交互动的研究都使用了人形机器人Nao。在本文中,我们描述了我们的项目,旨在解决日益增长的未满足的需求,以减缓轻度认知障碍患者的认知下降进展的替代方法。 NAO是生态环境中使用的实验平台:一种治疗意大利健康服务认知障碍和痴呆的中心。本文介绍了评估人体机器人相互作用的有效性,以加强治疗行为和治疗的依从性,并提出最近进行的功能测试和用户调查的最新结果。该机器人被编程为实现通常的内存培训节目协议的一些任务。在不同的培训条件下,受试者通过支持NAO或仅来自心理学家的课程,同时记录互动以供随后的探索。数据表明,与NAO的记忆训练导致患者的视觉凝视增加,并加强治疗行为在某些情况下减少抑郁症状。意外地,检测到散文记忆和口头流畅度措施的重大变化。这些研究结果表明,有必要进一步研究生态环境中的机器人,以确定它们可以有效地支持临床实践的程度。

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