老年人的认知状态评估 - 通过对话式人工智能 (AI) 聊天机器人进行测试管理:概念验证调查
Anastasia Serafimovska1,2, Katrina Swavley1, Alice Zhang Qian Ao1
1School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, NSW, Australia.
Journal of clinical and experimental neuropsychology
|August 12, 2025
概括
一个人工智能聊天机器人成功地进行了认知状态修改 (TICS-M-AI) 的电话访谈,证明了远程认知评估的良好有效性和可靠性. 这种自动化方法为评估老年人的认知功能提供了更高的可访问性和更低的成本.
科学领域:
- 老年学是一门学科.
- 医疗保健中的人工智能
- 认知评估 认知评估
背景情况:
- 改变认知状态的电话采访 (TICS-M) 是远程认知评估的一个关键工具,特别是在老年人中.
- 人工智能 (AI) 具有提高医疗保健效率,可访问性和成本效益的潜力.
- 通过对话式AI聊天机器人 (TICS-M-AI) 自动化TICS-M管理被探索以提高认知评估交付.
研究的目的:
- 建立聊天机器人驱动的认知评估自动化概念验证.
- 为了评估TICS-M-AI的心理测量特性.
- 评估TICS-M-AI与传统管理相比的安全性.
主要方法:
- 在100名参与者中,通过比较TICS-M-AI结果与心理学家管理的TICS-M来评估并发有效性.
- 通过对82名参与者进行两次TICS-M-AI的治疗来评估试验-重试的可靠性.
- 通过复制使用TICS-M-AI数据 (n=264) 的先前研究来测试构造有效性.
- 通过比较TICS-M和TICS-M-AI之间的应急率来评估安全性.
主要成果:
- 与TICS-M.AI相比,TICS-M-AI显示出强大的并发有效性 (r=0.81) 和良好的测试重试可靠性 (r=0.76).
- 聊天机器人管理成功地复制了先前TICS-M研究的结果.
- 在TICS-M和TICS-M-AI之间没有观察到安全性或应急率的显著差异.
结论:
- 聊天机器人管理的TICS-M (TICS-M-AI) 是一种可靠和有效的认知评估方法.
- 与传统方法相比,TICS-M-AI在成本,可扩展性和可访问性方面具有优势.
- 未来的研究应该专注于对不同人群的概括性和AI适应性.
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