[目的/意义]生成式AI情景下，在线知识社区（OKC）引入大量嵌入AI算法的机器人，为OKC发展何种人机协作模式以更好地提升知识社会建构绩效提出了新的挑战。[方法/过程]收集Wikipedia中包含136位人类用户和48个机器人用户的3个典型词条的人机协作网络日志数据，采用扎根理论进行多案例分析。[结果/结论]文章提出了生成式AI情景下的OKC人机协作知识社会建构模型，揭示了其中的人机协作知识社会建构机理，阐述了人机协作任务中固有的三种基本任务依赖关系（流型、整合型和共享型）和任务执行所需的人机团队资源如何影响自动化辅助和增强辅助两种人机协作模式的形成，以及这两种人机协作模式对知识社会建构绩效的重要影响作用。研究从人机协作视角丰富和发展了协调理论和社会建构主义理论，为生成式AI情景下的人类协作策略和知识社会建构绩效提升策略提供有益指导。

[Purpose/significance] In the context of generative AI, Online Knowledge Communities (OKC) have intro⁃duced a large number of bots embedded with AI algorithms, posing new challenges for developing human-bot collabora⁃tion patterns to better improve the performance of knowledge social construction. [Method/process] Collect humanbot collaboration network log data from 136 human users and 48 bot users in Wikipedia, and use grounded theory for multi case analysis. [Result/conclusion] The study establishes a human-bot collaborative knowledge social construc⁃tion model for OKC in generative AI contexts, revealing the mechanism of human-bot collaborative knowledge social construction, elaborating the effect of three basic task dependencies(flow,fit,sharing) and human-bot team resources re⁃quired for task execution on the formation of two human-bot collaboration patterns, automated assistance and enhanced assistance, as well as the important impact of these two human-bot collaboration patterns on the knowledge social con⁃
struction performance.From the perspective of human-bot collaboration, the research enriched and developed the coor⁃dination theory and social constructivist theory, providing useful guidance for human collaborating strategies and knowl⁃edge social construction performance improvement strategies in generative AI contexts.