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通过社交媒体聊天机器人微干预实现快速、个性化的饮食与健康教育:开发及可用性研究与实用建议

Rapid, Tailored Dietary and Health Education Through A Social Media Chatbot Microintervention: Development and Usability Study With Practical Recommendations.

作者信息

Ali Shahmir H, Rahman Fardin, Kuwar Aakanksha, Khanna Twesha, Nayak Anika, Sharma Priyanshi, Dasraj Sarika, Auer Sian, Rouf Rejowana, Patel Tanvi, Dhar Biswadeep

机构信息

Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.

School of Global Public Health, New York University, New York, NY, United States.

出版信息

JMIR Form Res. 2024 Dec 9;8:e52032. doi: 10.2196/52032.

DOI:10.2196/52032
PMID:39652870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11667145/
Abstract

BACKGROUND

There is an urgent need to innovate methods of health education, which can often be resource- and time-intensive. Microinterventions have shown promise as a platform for rapid, tailored resource dissemination yet have been underexplored as a method of standardized health or dietary education; social media chatbots display unique potential as a modality for accessible, efficient, and affordable educational microinterventions.

OBJECTIVE

This study aims to provide public health professionals with practical recommendations on the use of social media chatbots for health education by (1) documenting the development of a novel social media chatbot intervention aimed at improving dietary attitudes and self-efficacy among South Asian American young adults and (2) describing the applied experiences of implementing the chatbot, along with user experience and engagement data.

METHODS

In 2023, the "Roti" chatbot was developed on Facebook and Instagram to administer a 4-lesson tailored dietary health curriculum, informed by formative research and the Theory of Planned Behavior, to 18- to 29-year-old South Asian American participants (recruited through social media from across the United States). Each lesson (10-15 minutes) consisted of 40-50 prescripted interactive texts with the chatbot (including multiple-choice and open-response questions). A preintervention survey determined which lesson(s) were suggested to participants based on their unique needs, followed by a postintervention survey informed by the Theory of Planned Behavior to assess changes in attitudes, self-efficacy, and user experiences (User Experience Questionnaire). This study uses a cross-sectional design to examine postintervention user experiences, engagement, challenges encountered, and solutions developed during the chatbot implementation.

RESULTS

Data from 168 participants of the intervention (n=92, 54.8% Facebook; n=76, 45.2% Instagram) were analyzed (mean age 24.5, SD 3.1 years; n=129, 76.8% female). Participants completed an average of 2.6 lessons (13.9 minutes per lesson) and answered an average of 75% of questions asked by the chatbot. Most reported a positive chatbot experience (User Experience Questionnaire: 1.34; 81/116, 69.8% positive), with pragmatic quality (ease of use) being higher than hedonic quality (how interesting it felt; 88/116, 75.9% vs 64/116, 55.2% positive evaluation); younger participants reported greater hedonic quality (P=.04). On a scale out of 10 (highest agreement), participants reported that the chatbot was relevant (8.53), that they learned something new (8.24), and that the chatbot was helpful (8.28). Qualitative data revealed an appreciation for the cheerful, interactive messaging of the chatbot and outlined areas of improvement for the length, timing, and scope of text content. Quick replies, checkpoints, online forums, and self-administered troubleshooting were some solutions developed to meet the challenges experienced.

CONCLUSIONS

The implementation of a standardized, tailored health education curriculum through an interactive social media chatbot displayed strong feasibility. Lessons learned from challenges encountered and user input provide a tangible roadmap for future exploration of such chatbots for accessible, engaging health interventions.

摘要

背景

迫切需要创新健康教育方法,因为这些方法往往资源和时间消耗大。微干预已显示出作为快速、量身定制的资源传播平台的潜力,但作为标准化健康或饮食教育方法的探索却不足;社交媒体聊天机器人作为一种可及、高效且经济实惠的教育微干预方式具有独特潜力。

目的

本研究旨在为公共卫生专业人员提供关于使用社交媒体聊天机器人进行健康教育的实用建议,方法是:(1)记录一种旨在改善美国南亚裔年轻人饮食态度和自我效能感的新型社交媒体聊天机器人干预措施的开发过程;(2)描述实施聊天机器人的应用经验,以及用户体验和参与度数据。

方法

2023年,在Facebook和Instagram上开发了“Roti”聊天机器人,向18至29岁的美国南亚裔参与者(通过社交媒体从美国各地招募)提供一门由4节课组成的量身定制的饮食健康课程,该课程基于形成性研究和计划行为理论。每节课(10 - 15分钟)由与聊天机器人的40 - 50条预先设定的互动文本组成(包括多项选择题和开放式问题)。干预前的调查根据参与者的独特需求确定向他们推荐哪些课程,随后根据计划行为理论进行干预后的调查,以评估态度、自我效能感和用户体验的变化(用户体验问卷)。本研究采用横断面设计,以检查干预后用户体验、参与度、遇到的挑战以及在聊天机器人实施过程中开发的解决方案。

结果

对168名干预参与者的数据(n = 92,54.8%来自Facebook;n = 76,45.2%来自Instagram)进行了分析(平均年龄24.5岁,标准差3.1岁;n = 129,76.8%为女性)。参与者平均完成了2.6节课(每节课13.9分钟),平均回答了聊天机器人提出问题的75%。大多数人报告了积极的聊天机器人体验(用户体验问卷:1.34;81/116,69.8%为积极),实用质量(易用性)高于享乐质量(感觉有多有趣;积极评价分别为88/116,75.9%和64/116,55.2%);年轻参与者报告的享乐质量更高(P = 0.04)。在10分制(最高同意度)中,参与者报告聊天机器人相关(8.53)、学到了新东西(8.24)且聊天机器人有帮助(8.28)。定性数据显示,人们对聊天机器人欢快、互动的信息表示赞赏,并概述了文本内容的长度、时间安排和范围方面的改进领域。快速回复、检查点、在线论坛和自我管理的故障排除是为应对遇到的挑战而开发的一些解决方案。

结论

通过交互式社交媒体聊天机器人实施标准化、量身定制的健康教育课程显示出很强的可行性。从遇到的挑战和用户反馈中吸取的经验教训为未来探索此类聊天机器人以进行可及、有吸引力的健康干预提供了切实可行的路线图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1276/11667145/bc1ebf8adaf9/formative_v8i1e52032_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1276/11667145/50e16e54b5d7/formative_v8i1e52032_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1276/11667145/bc1ebf8adaf9/formative_v8i1e52032_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1276/11667145/50e16e54b5d7/formative_v8i1e52032_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1276/11667145/bc1ebf8adaf9/formative_v8i1e52032_fig2.jpg

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