用语音对话更新数字助理知识库，实测效果不输传统界面。
Voice CMS: updating the knowledge base of a digital assistant through conversation
- 构建多智能体大模型+语音界面，实现对话式知识更新
- 语音输入内容质量与图形界面相当，复杂任务亦可胜任
- 适合注重效率的业务场景，混合界面或为未来方向
本文提出一种基于多智能体大模型架构和语音用户界面（VUI）的数字助理知识库更新方案。通过对比传统图形化内容管理系统（CMS），评估了用户偏好与信息复杂度之间的关系。结果显示，尽管整体可用性评分低于图形界面，但用户更倾向在简单任务中使用语音；且语音输入的内容质量与图形界面相当，即使在高复杂度任务中也表现良好。定性分析表明，结合两者优势的混合界面可减轻认知负荷，同时保留语音交互的直观性。该研究验证了对话式接口在特定业务场景下进行知识管理的可行性和有效性。
原文摘要 · Abstract (English)
In this study, we propose a solution based on a multi-agent LLM architecture and a voice user interface (VUI) designed to update the knowledge base of a digital assistant. Its usability is evaluated in comparison to a more traditional graphical content management system (CMS), with a focus on understanding the relationship between user preferences and the complexity of the information being provided. The findings demonstrate that, while the overall usability of the VUI is rated lower than the graphical interface, it is already preferred by users for less complex tasks. Furthermore, the quality of content entered through the VUI is comparable to that achieved with the graphical interface, even for highly complex tasks. Obtained qualitative results suggest that a hybrid interface combining the strengths of both approaches could address the key challenges identified during the experiment, such as reducing cognitive load through graphical feedback while maintaining the intuitive nature of voice-based interactions. This work highlights the potential of conversational interfaces as a viable and effective method for knowledge management in specific business contexts.
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