Abstract: 【Purpose/significance】Open innovation is a dynamic process in which an enterprise breaks through the organizational inno⁃ vation boundary, integrates group wisdom and absorbs external innovation resources. In this context, the discussion of high-quality en⁃ gagement behaviors triggered by interactive information is of great significance for improving enterprise innovation performance and optimizing relevant platform management practices.【Method/process】Firstly, a model of interactive information-driven high-quality user innovation engagement was constructed by integrating argumentation theory and attitude change theory, combining the multiple situational features of interactive information dynamic generation. Secondly, based on 7793 interactive information segments from Xiaomi community, the argumentation labelling, sentiment analysis and position analysis methods were applied to extract textual fea⁃ tures of interactive information. Finally, Logistic regression analysis was used to empirically test the relevant hypotheses.【Result/con⁃ clusion】In single comment scenario, the stronger the argumentative nature of the interactive information, the stronger the effect on user engagement. In paired comments scenario, the stronger the positional relationship of the interaction information, the stronger the effect on user engagement. Meanwhile, the impact of positional inconsistency is stronger and more focus on triggering breakthrough in⁃ novation engagement.【Innovation/limitation】This paper constructs a model of the influence of interaction information on high-quality user engagement based on the attitude change theory, revealing the internal logic by which interaction information influences highquality user engagement, and empirically tests it using Xiaomi community data. However, the model still needs to be tested and modi⁃ fied in different open innovation platforms in subsequent studies.