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Exploring the Impact of Dementia Prevention Programs Using Robots as Intervention Tools on Community Elderly

National Taiwan Normal University · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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cognitive-declinedementianapsychological-well-being
The purpose of this study is to intervene in the cognitive functions of the community elderly through the "Robot Dementia Prevention Course" training. It is expected that through the eight-week course design activities, the cognitive functions, social activities, emotional management (such as alleviating depression), well-being, reduce loneliness and can be achieved, thereby preventing or delaying cognitive decline. This study is a quasi-experimental design. It adopts pre-test and post-test methods for the experimental group and the control group. Before the intervention of the "Robotic Dementia Prevention Course", the community elderly were given a pre-test. After receiving an 8-week course (two months), the first post-test will be conducted, and three months later, the second post-test (post-post-test) will be conducted to analyze the delay effect. The experimental group conducted a two-month "Robot Dementia Prevention Course" intervention. The research subjects were 40 people. Each group of 5 people was assigned a Kebbi robot. The course intervention was divided into 8 groups. The Kebbi robot mainly taught and communicated with the elderly interactively. There is a well-trained teaching assistant in the class to enhance the learning effect of the elderly. The two classes per week are about 2 hours long, with 50 minutes of course knowledge introduction, 10 minutes of rest, 50 minutes of interaction with Kebbi Artificial Intelligence-based board games, and 10 minutes of prize-based quizzes after class. They are held once a week, with a total of 8 weeks of courses (duration two months), classes were taken in the elderly's original care center or long-term care base; the control group did not receive any course intervention. Statistical methods were analyzed using SPSS version 23.0, and descriptive statistics, paired t tests, generalized estimating equations, etc. were used to test the changes before and after the intervention.
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