对聊天机器人对生活方式行为的有效性的系统审查和元分析

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Updated: Jul 25, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Ben Singh¹, Timothy Olds², Jacinta Brinsley²

¹Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia. Ben.Singh@unisa.edu.au.

NPJ digital medicine

|June 23, 2023

概括

聊天机器人的干预有效地改善了身体活动,饮食和睡眠. 这次审查发现,对总体体育活动,步骤,中度至强度体育活动 (MVPA),水果和蔬菜摄入量以及睡眠质量和持续时间有显著的益处.

科学领域:

数字健康数字健康
行为科学行为科学
公共卫生公共卫生

背景情况:

聊天机器人或对话代理提供个性化和高效的医疗保健服务.
它们在改善身体活动,饮食和睡眠等健康行为方面的潜力需要彻底评估.

研究的目的:

系统地审查和元分析聊天机器人干预措施改善身体活动,饮食和睡眠的有效性.
评估不同聊天机器人特征 (类型,持续时间,人工智能使用) 对干预结果的影响.

主要方法:

系统地搜索电子数据库的随机和非随机对照试验,以及在2022年9月1日之前发表的前后试验.
结果的元分析包括总体体育活动,步骤,中度至强度体育活动 (MVPA),水果和蔬菜消费,睡眠质量和睡眠时间.
进行了子组分析,以探索聊天机器人类型,干预设计和人工智能 (AI) 使用的影响.

主要成果:

纳入了19项试验,其中大多数专注于体育活动,并被评为低质量.
对聊天机器人来说,在增加总体体力活动 (SMD=0.28),每日步骤 (SMD=0.28),MVPA (SMD=0.53),水果和蔬菜消费 (SMD=0.59),睡眠时间 (SMD=0.44) 和睡眠质量 (SMD=0.50) 方面观察到显著的积极影响.
基于文本和人工智能的聊天机器人显示在水果和蔬菜消费方面更有效,而多组件干预措施在睡眠结果方面更有效.

结论:

聊天机器人干预措施在增强身体活动,水果和蔬菜消费以及睡眠模式方面表现出有效性.
这些好处在不同的人口和年龄组中观察到,支持聊天机器人技术在健康促进中的多功能性.

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