[目的/意义]生成式智能搜索引擎正在成为人们最常使用和最关心的搜索平台，然而，人们对其系统设计是否有效、如何支持不同类型的任务、如何支持不同学习风格人群的搜索效果等问题了解较少。文章以此开展研究，以补充交互式信息检索领域生成式智能搜索环境下的搜索行为和搜索效果研究。[方法/过程]基于分层交互模型，以New Bing网站为实验系统，探究系统交互（信息资源、页面表现和技术特性）与搜索效果的关系，以及不同任务类型（事实任务、探索任务）和不同学习风格（发散型、聚合型、同化型和顺应型）对用户搜索行为与搜索效果的影响。[结果/结论]系统交互的大部分指标都与用户层面的搜索效果正相关，而成本收益层面的搜索效果只与页面表现的布局排版相关；被试在事实任务中有更丰富的搜索行为和更好的搜索效果；四种学习风格之间的搜索行为存在显著差异，主要体现在查询式重构次数以及查询式重构类型中，搜索效果差异同样显著，发散型学习风格被试在质量满意度和感知价值方面都有更好的体验。
[Purpose/significance] Generative AI search engines are becoming the most frequently used and most dis⁃cussed search platforms. However, there remains limited understanding regarding the effectiveness of their system de⁃sign, their ability to support diverse task types, and their capacity to enhance search outcomes for individuals with dif⁃ferent learning styles. This study addresses these gaps to supplement research on search behavior and effectiveness within generative AI search environments in the field of interactive information retrieval. [Method/process] Based on a hierarchical interaction model, we used the New Bing website as our experimental system to investigate the relation⁃ship between system interactions (information resources, page presentation, and technical characteristics) and search effectiveness. We also examined how different task types (factual and exploratory) and learning styles (divergent, con⁃vergent, assimilative, and accommodative) influence user search behavior and search outcomes. [Result/conclusion] Most system interaction metrics correlate positively with search effectiveness at the user level, while cost- benefit search effectiveness relates solely to page layout and typography. Participants demonstrated richer search behaviors and superior search outcomes during factual tasks. Furthermore, significant differences in search behaviors emerged across the four learning styles, primarily reflected in query restructuring frequency and types. Search effectiveness vari⁃ations were equally pronounced, with participants exhibiting divergent learning styles reporting superior experiences in both quality satisfaction and perceived value.
