[目的/意义]随着生成式人工智能的兴起，其作为社会行动者的角色正在重塑信息获取过程。在人-人替代搜寻产生的不确定性背景下，从积极情绪和消极情绪角度切入，探究不确定性对人-机替代搜寻行为的影响，对于促进该技术的进一步发展具有显著意义。[方法/过程]基于动机信息管理理论构建研究模型，共提出13个研究假设，采用问卷调查法、关键事件技术法收集数据，通过偏最小二乘法的结构方程模型进行相关的模型计算。[结果/结论]揭示了不确定性差异和信息-任务低匹配与个体情绪之间的相关性，即不确定性差异的增加提升个体消极情绪，并相应地降低积极情绪。在消极情绪的影响下，用户降低预期结果评估和效能评估，从而抑制人-机替代搜寻行为。信息-任务低匹配虽对情绪影响不显著，但正向促进人-机替代搜寻行为。情绪对人-机替代搜寻行为并无显著影响。

[Purpose/significance] With the rise of generative AI, its role as a social actor is reshaping the process of in⁃formation acquisition. Against the backdrop of the uncertainty arising from human to human proxy search, exploring the influence of uncertainty on human to machine proxy search behavior from the perspectives of positive and negative emo⁃tions is of great significance for the further development of this technology. [Method/process] Based on the motivation⁃al information management theory, a research model was constructed, and a total of 13 research hypotheses were pro⁃posed. The data were collected using the questionnaire survey method and the critical incident technique. The relevant model calculations were carried out through the partial least squares structural equation modeling. [Result/conclu⁃sion] This study first reveals the correlation between the uncertainty differences, the low matching between information and tasks, and individual emotions. That is, an increase in uncertainty differences enhances individuals' negative emo⁃
tions and, correspondingly, reduces positive emotions. Under the influence of negative emotions, users lower their eval⁃uation of expected outcomes and effectiveness, thereby suppressing human to machine proxy search behavior. Although the low matching between information and tasks has no significant impact on the emotional state, it positively promotes human to machine proxy search behavior. Emotions have no significant impact on the results of human to machine proxy search behavior.