用WhatsApp打造低成本AI助手，帮发展中国家用户获取可靠信息
WaLLM -- Insights from an LLM-Powered Chatbot deployment via WhatsApp
- 基于WhatsApp部署定制聊天机器人，降低使用门槛
- 55%用户问事实类问题，健康话题最受关注（占28%）
- 排行榜功能使互动次数提升3倍，适合教育类应用
生成式AI如ChatGPT已改变信息获取方式，但在许多发展中国家，数字鸿沟仍阻碍访问。为此，我们开发了基于WhatsApp的自定义AI聊天机器人WaLLM。除了回答问题，还提供每日热门问题、推荐追问、趋势与近期查询、以及基于积分榜的激励系统。服务上线超6个月，累计接收约100名用户提交的14.7K条查询。日志分析显示，55%的查询为事实性问题，“健康与福祉”主题最热门（占28%），涵盖营养与疾病相关咨询，表明用户视其为可信信息源。三分之二的用户在每日热门问题发布后24小时内活跃。使用排行榜的用户互动次数是未使用者的3倍。论文最后讨论文化适配、界面设计及对用户信任的合理引导对发展中国家AI应用的意义。
原文摘要 · Abstract (English)
Recent advances in generative AI, such as ChatGPT, have transformed access to information in education, knowledge-seeking, and everyday decision-making. However, in many developing regions, access remains a challenge due to the persistent digital divide. To help bridge this gap, we developed WaLLM - a custom AI chatbot over WhatsApp, a widely used communication platform in developing regions. Beyond answering queries, WaLLM offers several features to enhance user engagement: a daily top question, suggested follow-up questions, trending and recent queries, and a leaderboard-based reward system. Our service has been operational for over 6 months, amassing over 14.7K queries from approximately 100 users. In this paper, we present WaLLM's design and a systematic analysis of logs to understand user interactions. Our results show that 55% of user queries seek factual information. "Health and well-being" was the most popular topic (28%), including queries about nutrition and disease, suggesting users view WaLLM as a reliable source. Two-thirds of users' activity occurred within 24 hours of the daily top question. Users who accessed the "Leaderboard" interacted with WaLLM 3x as those who did not. We conclude by discussing implications for culture-based customization, user interface design, and appropriate calibration of users' trust in AI systems for developing regions.
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