一个用于老年人认知干预的生成性AI框架:一个综合工程设计和临床协议
Taeksoo Jeong1, Geonhwi Hwang2, Doo Young Kim1,3
1Department of Rehabilitation Medicine, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon 22711, Republic of Korea.
教练-教师-陪伴者 (CTC) 框架使用生成性AI使数字认知干预更易于老年人使用. 本研究探讨了它的可行性,旨在降低学率并改善现实世界的应用.
科学领域:
- 老年学是一门学科.
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 数字排斥是老年人认知能力下降的危险因素.
- 数字干预中的高退学率源于低数字素养和技术焦虑.
- 对个别国家的有限适应阻碍了数字干预的现实世界转移.
研究的目的:
- 介绍教练-教师-伴侣 (CTC) 框架,一个三代理生成AI系统.
- 探索适应性认知干预的可行性,以数字化访问的老年人.
- 为基于AI的认知干预提供安全临床应用指南.
主要方法:
- 该CTC框架整合了三种AI代理用于行为,认知和情绪支持.
- 该系统将认知练习嵌入日常活动中,并监控情绪状态.
- 保障措施包括数字素养评估,焦虑监测,情绪安全协议和数据隐私.
主要成果:
- 一项为期六周的可行性研究 (n=14) 将评估可用性,用户体验和心理需求.
- 该研究还将评估情绪安全,坚持和初步认知结果.
- 主要结果是系统可用性尺度测量的可用性.
结论:
- 该CTC框架为临床实施提供了方法和道德保障.
- 标准化程序涉及数字素养,焦虑,情绪安全和数据隐私.
- 需要进一步的研究来验证该框架的可行性和有效性.
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