[目的/意义]探究用户在人—人替代性信息搜寻行为与人—机替代性信息搜寻行为之间转移的影响因素，为优化生成式人工智能提供理论依据和实践对策。[方法/过程]首先，对30个受访者围绕用户替代性信息搜寻行为的关键事件进行半结构化访谈；其次，基于关键事件技术和COM-B模型识别替代性信息搜寻转移行为的影响因素并建立影响因素模型；最后，利用几何平均法计算出熵权法和变异系数法的组合权重，比较各因素转移前后影响程度的差异。[结果/结论]两种转移行为的影响因素都包括能力因素（身体能力和心理能力）、机会因素（物理机会和社会机会）和动机因素（自发性动机和反思性动机），并且这些因素在转移前后都有所差异。

[Purpose/significance] To explore the influencing factors of the users′ transfer behavior between humanhuman surrogate search behavior and human-machine surrogate search behavior, providing theoretical foundations
and practical strategies for optimizing generative artificial intelligence. [Method/process] First, semi-structured interviews were conducted with 30 respondents focusing on critical incidents of users′ surrogate information seeking behaviors. Second, based on the critical incident technique and the COM-B model, the influencing factors of transfer behavior in surrogate information seeking were identified and the influence factor model was constructed. Finally, the combined weights of the entropy weight method and the coefficient of variation method were calculated using the geometric mean, in order to compare the differences in the influence of each factor before and after the transfer behavior. [Result/conclusion] The influencing factors of both types of transfer behavior include capability factors (physical capability and psychological capability), opportunity factors (physical opportunity and social opportunity), and motivation factors (automatic motivation and reflective motivation), and these factors differ before and after the transfer.