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通过Meta的Messenger聊天机器人(压力机器人)进行的低投入互联网干预以减轻学生压力:一项随机对照试验。

Low-effort internet intervention to reduce students' stress delivered with Meta's Messenger chatbot (Stressbot): A randomized controlled trial.

作者信息

Maciejewski Jan, Smoktunowicz Ewelina

机构信息

Department of Psychology, SWPS University, Warsaw, Poland.

StresLab Research Centre, Institute of Psychology, SWPS University, Warsaw, Poland.

出版信息

Internet Interv. 2023 Jul 25;33:100653. doi: 10.1016/j.invent.2023.100653. eCollection 2023 Sep.

DOI:10.1016/j.invent.2023.100653
PMID:37575678
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10413073/
Abstract

In order to be more accessible and overcome the challenges of low adherence and high dropout, self-guided internet interventions need to seek new delivery formats. In this study, we tested whether a widely-adopted social media app - Meta's (Facebook) Messenger - would be a suitable conveyor of such an internet intervention. Specifically, we verified the efficacy of Stressbot: a Messenger chatbot-delivered intervention focused on enhancing coping self-efficacy to reduce stress and improve quality of life in university students. Participants ( = 372) were randomly assigned to two conditions: (1) an experimental group with access to the Stressbot intervention, and (2) a waitlist control group. Three outcomes, namely coping self-efficacy, stress, and quality of life, were assessed at three time points: a baseline, post-test, and one-month follow-up. Linear Mixed Effects Models were used to analyze the data. At post-test, we found improvements in the Stressbot condition compared to the control condition for stress ( = -0.33) and coping self-efficacy ( = 0.50), but not for quality of life. A sensitivity analysis revealed that the positive short-term intervention effects were robust. At the follow-up, there were no differences between groups, indicating that the intervention was effective only in the short term. In sum, the results suggest that the Messenger app is a viable means to deliver a self-guided internet intervention. However, modifications such as a more engaging design or boosters are required for the effects to persist.

摘要

为了更易于使用并克服依从性低和高辍学率的挑战,自我引导式互联网干预需要寻求新的交付形式。在本研究中,我们测试了一款广泛使用的社交媒体应用程序——Meta(脸书)的Messenger——是否会是这种互联网干预的合适载体。具体而言,我们验证了Stressbot的功效:这是一种通过Messenger聊天机器人提供的干预措施,旨在增强应对自我效能,以减轻大学生的压力并改善生活质量。参与者(n = 372)被随机分配到两种情况:(1)可以使用Stressbot干预措施的实验组,以及(2)候补对照组。在三个时间点评估了三个结果,即应对自我效能、压力和生活质量:基线、测试后和一个月随访。使用线性混合效应模型分析数据。在测试后,我们发现与对照组相比,Stressbot组在压力(β = -0.33)和应对自我效能(β = 0.50)方面有所改善,但在生活质量方面没有改善。敏感性分析表明,积极的短期干预效果是稳健的。在随访中,两组之间没有差异,表明干预仅在短期内有效。总之,结果表明Messenger应用程序是提供自我引导式互联网干预的可行手段。然而,需要进行一些修改,例如采用更具吸引力的设计或强化措施,以使效果持续。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/f52f61792e05/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/deab419dd05d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/3d698f45d20c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/f52f61792e05/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/deab419dd05d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/3d698f45d20c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432b/10413073/f52f61792e05/gr3.jpg

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