AI 中文总结
本博士研究采用多种实验与理论方法，刻画生成式AI驱动的现代信息检索演变，为个性化认知感知型信息检索系统设计提供支撑。
AI 中文摘要
信息检索（IS）会随人类的信息检索过程一同演变。自生成式AI（GenAI）兴起以来，现代信息检索发生了转变，引入了更多交互界面、更复杂的交互方式以及更强大的系统能力。我们认为，应当系统地审视现代信息检索的这些变化。本博士研究旨在刻画现代信息检索过程的变化，采用的机制包括在线众包调查实验、理论信息检索框架以及结合神经生理信号的实验室实验，以刻画现代信息检索的转变，尤其是由GenAI驱动的转变。我们提供了关于当前搜索界面偏好格局及信息检索过程中认知负荷的见解，相信本博士研究将为未来个性化、认知感知型信息检索系统的设计提供助力与参考。
英文摘要
Information seeking (IS) evolves, as does the human IS process. Since the rise of Generative AI (GenAI), modern IS has shifted by introducing more interfaces, more complex interactions, and expanded system capabilities. We argue that these changes in modern IS should be systematically examined. This PhD research characterizes the changes in the modern IS process. We use mechanisms, including online crowdsourcing survey experiments, theoretical IS frameworks, and in-lab experiments with neurophysiological signals, to characterize the shifts in modern IS, especially those driven by GenAI. We offer insights into the current landscape of search interface preferences and the cognitive efforts involved in seeking information. We believe this PhD research will contribute to and inform future designs of personalized, cognition-aware IS systems.
CommentsBest Paper Award at FDIA 2026; 2 Pages (Excluding References)
