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通过关系型人工智能聊天机器人增强身体活动:一项可行性和可用性研究。

Enhancing physical activity through a relational artificial intelligence chatbot: A feasibility and usability study.

作者信息

Oh Yoo Jung, Liang Kai-Hui, Kim Diane Dagyong, Zhang Xuanming, Yu Zhou, Fukuoka Yoshimi, Zhang Jingwen

机构信息

Department of Communication, Michigan State University, East Lansing, Michigan, USA.

Department of Computer Science, Columbia University, New York, USA.

出版信息

Digit Health. 2025 Mar 3;11:20552076251324445. doi: 10.1177/20552076251324445. eCollection 2025 Jan-Dec.

Abstract

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.

摘要

目的

本研究开展了一项初步随机对照试验,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(Exerbot)干预措施在增加身体活动行为方面的可用性、可行性和初始效果。

方法

该研究为期1周,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话(对照组),另一组与使用社交关系沟通策略的关系型聊天机器人对话。使用智能手机计步器收集客观测量的身体活动数据。

结果

该研究成功招募了36名参与者,1周后的保留率为94%,具有可行性。各组与AI聊天机器人的每日参与率均超过88%。研究结果显示,对照组在最后一天的步数显著减少,而与关系型聊天机器人互动的组在整个研究期间保持了步数。重要的是,与对照组相比,与关系型聊天机器人互动的个体报告与聊天机器人的社会联系更强。

结论

利用AI聊天机器人以及AI建立关系的能力,在开发具有成本效益、可及性和可持续性的行为改变干预措施方面具有前景。这种方法可能使难以获得传统面对面行为干预的个体受益。

临床试验注册

ClinicalTrials.gov;NCT05794308;https://clinicaltrials.gov/ct2/show/NCT05794308

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f657/11877463/e66222d979b3/10.1177_20552076251324445-fig1.jpg

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