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实现数字认知刺激的个性化,以支持与痴呆症患者的沟通:试点干预研究作为人工智能开发前奏.
Nick Hird1, Tohmi Osaki2, Samik Ghosh3
1Aikomi Ltd Co, Yokohama, Kanagawa, Japan.
JMIR formative research
|January 16, 2024
概括
艾科米数字应用程序显示了增强痴呆症患者的沟通和参与的前景. 它的个性化认知刺激和数据捕获功能支持人工智能开发,使护理人员更容易使用.
科学领域:
- 老年学是一门学科.
- 人与计算机的交互
- 医疗保健中的人工智能
背景情况:
- 有效的沟通和参与是痴呆症护理中的关键挑战.
- 数字认知刺激工具存在,但缺乏用于日常使用的个性化.
- 人工智能 (AI) 可以自动化个性化,但需要合适的数据,这是目前缺乏的.
研究的目的:
- 评估Aikomi数字应用程序用于日本养老院的个性化认知刺激.
- 评估Aikomi在改善痴呆症患者和护理人员之间的沟通和参与方面的潜力.
- 为了确定Aikomi是否捕获适合AI系统开发的数据.
主要方法:
- 一个模块化平台为日本4个护理机构的15名痴呆症患者创建了个性化计划.
- 干预涉及痴呆症患者和护理人员,可选的气味刺激.
- 会议被录制成视频,并分析了个性化的数据.
主要成果:
- 67%的参与者表现出高参与度;没有报告任何负面反应.
- 护理人员观察到一些参与者的注意力集中和自发沟通.
- 个性化数据显示了对内容的各种反应,使得相关性分析成为可能.
结论:
- 艾科米应用程序是可以接受的,可能会增强痴呆症患者的沟通和参与.
- 该平台成功地捕获了适合机器学习的个性化数据.
- 进一步的研究将专注于开发用于用户友好的数字认知刺激的AI系统.
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