An Analysis on the Construction Mechanism of Human-Bot Collaborative Knowledge Society in Online Knowledge Community under Generative AI Scenario
[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 human-bot 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.
generative AIhuman-bot collaborationknowledge society constructiononline knowledge community
万方数据
维普
