用聊天机器人帮非洲农村普及清洁饮水卫生知识
WASHtsApp -- A RAG-powered WhatsApp Chatbot for supporting rural African clean water access, sanitation and hygiene
- 基于RAG技术的WhatsApp聊天机器人，精准回答当地卫生问题
- 专家与用户验证均显示信息准确且受欢迎
- 适合发展中国家公共卫生推广，可扩展至多语言
本文介绍WASHtsApp，一个基于WhatsApp的聊天机器人，旨在向非洲农村社区普及清洁饮水、卫生与健康（WASH）知识。该系统采用检索增强生成（RAG）方法，克服以往方案覆盖范围小、缺乏上下文的问题。研究遵循设计科学方法论，分两阶段评估：由四位WASH专家进行内容验证，确认信息准确性与相关性；再由潜在用户群体进行社区验证，结果显示用户接受度高，普遍认为其具有实用价值。论文最后讨论未来发展方向，包括支持本地语言、分析用户数据以实现精准干预，并建议开展更大规模部署及利用用户数据优化教育策略。
原文摘要 · Abstract (English)
This paper introduces WASHtsApp, a WhatsApp-based chatbot designed to educate rural African communities on clean water access, sanitation, and hygiene (WASH) principles. WASHtsApp leverages a Retrieval-Augmented Generation (RAG) approach to address the limitations of previous approaches with limited reach or missing contextualization. The paper details the development process, employing Design Science Research Methodology. The evaluation consisted of two phases: content validation by four WASH experts and community validation by potential users. Content validation confirmed WASHtsApp's ability to provide accurate and relevant WASH-related information. Community validation indicated high user acceptance and perceived usefulness of the chatbot. The paper concludes by discussing the potential for further development, including incorporating local languages and user data analysis for targeted interventions. It also proposes future research cycles focused on wider deployment and leveraging user data for educational purposes.
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