摘要
The emergence of large language models has catalyzed unprecedented interest in artificial intelligence applications.Intelligent assistants,as exemplary implementations of this technology,have demonstrated remarkable capabilities,leading to their increasing adoption as a primary mode of human-machine interaction for task completion.However,the underlying mechanisms governing user interactions with these intelligent assistants warrant further investigation.This study examines the human-machine interaction process through the lens of knowledge co-creation,grounded in sense-making theory.We developed an intelligent assistant platform to collect interaction data from 316 users and conducted grounded theory research,incorporating third-party materials,to construct a comprehensive model of human-machine collaborative knowledge co-creation.The model was subsequently validated through quantitative empirical research.Our findings reveal three key insights:(1)human-machine collaboration serves as a critical mediator in facilitating knowledge co-creation;(2)both individual and machine knowledge capabilities significantly contribute to achieving optimal human-machine synergy;and(3)users'prompt literacy exhibits a significant positive moderating effect on human-machine collaboration.This research makes two primary contributions:it elucidates the fundamental mechanisms underlying human-intelligent assistant interaction from a knowledge co-creation perspective,and it establishes a theoretical foundation for scaling human-machine knowledge co-creation research to organizational and industrial contexts.
