通过关系型人工智能聊天机器人增强身体活动:可行性和可用性研究。

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
DIGITAL HEALTH Pub Date : 2025-03-03 eCollection Date: 2025-01-01 DOI:10.1177/20552076251324445
Yoo Jung Oh, Kai-Hui Liang, Diane Dagyong Kim, Xuanming Zhang, Zhou Yu, Yoshimi Fukuoka, Jingwen Zhang
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引用次数: 0

摘要

目的:本研究提出了一项随机对照试验,以评估基于移动应用程序的关系型人工智能(AI)聊天机器人(exbot)干预增加身体活动行为的可用性、可行性和初步效果。方法:研究进行了为期一周的时间,在此期间,参与者被随机分为两组,一组与没有关系能力的基线聊天机器人(对照组)交谈,另一组与使用社会关系沟通策略的关系聊天机器人交谈。使用智能手机计步器收集客观测量的身体活动数据。结果:该研究在招募36名参与者的样本中是可行的,一周后保留率为94%。在所有群组中,人工智能聊天机器人的每日参与率超过88%。研究结果显示,对照组在最后一天的步数显著减少,而与关系聊天机器人互动的小组在整个研究期间都保持了他们的步数。重要的是,与控制组相比,使用关系聊天机器人的人与聊天机器人的社会联系更强。结论:利用人工智能聊天机器人和人工智能建立关系的能力,有望开发出具有成本效益、可获取和可持续的行为改变干预措施。这种方法可能有利于个人有限的访问传统的面对面的行为干预。临床试验注册:ClinicalTrials.gov;NCT05794308;https://clinicaltrials.gov/ct2/show/NCT05794308。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing physical activity through a relational artificial intelligence chatbot: A feasibility and usability study.

Objective: This study presents a pilot randomized controlled trial to assess the usability, feasibility, and initial efficacy of a mobile app-based relational artificial intelligence (AI) chatbot (Exerbot) intervention for increasing physical activity behavior.

Methods: The study was conducted over a 1-week period, during which participants were randomized to either converse with a baseline chatbot without relational capacity (control group) or a relational chatbot using social relational communication strategies. Objectively measured physical activity data were collected using smartphone pedometers.

Results: The study was feasible in enrolling a sample of 36 participants and with a 94% retention rate after 1 week. Daily engagement rate with the AI chatbot reached over 88% across the groups. Findings revealed that the control group experienced a significant decrease in steps on the final day, whereas the group interacting with the relational chatbot maintained their step counts throughout the study period. Importantly, individuals who engaged with the relational chatbot reported a stronger social bond with the chatbot compared to those in the control group.

Conclusions: Leveraging AI chatbot and the relationship-building capabilities of AI holds promise in the development of cost-effective, accessible, and sustainable behavior change interventions. This approach may benefit individuals with limited access to conventional in-person behavior interventions.

Clinical trial registrations: ClinicalTrials.gov; NCT05794308; https://clinicaltrials.gov/ct2/show/NCT05794308.

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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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