生成式人工智能对话式搜索对个人用户信息搜寻行为的影响研究

The Impact of Generative Artificial Intelligence Conversational Search on Individual Users’ Information-Seeking Behavior

摘要: [目的/意义] 文章旨在研究在生成式人工智能背景下，对话式搜索如何影响用户的信息搜寻行为模式。[方法/过程] 通过文献理论研究方法进行论证，提取关键概念与成果，阐明对话式搜索在技术应用和产品实践上的发展动向，阐述对话式搜索对传统模式的影响。[结果/结论] 研究发现，对话式搜索重塑了用户信息搜寻的结果获取模式、人机交互方式及语言表达模式。它通过主动生成答案满足个性化需求，重塑了从被动接收到主导定制的信息过程。对话式搜索被验证为一种重要的信息搜寻模式，已成为未来信息搜寻发展的新动向。它将引领信息服务产业走向用户中心和知识服务的新阶段。信息机构需要重视AI应用，跟进技术变革以应对挑战。

Abstract: This study aims to investigate the impact of conversational search on users’ information-seeking behavior patterns in the context of generative artificial intelligence. Through literature review and theoretical research, key concepts and findings are extracted to elucidate the development trends of conversational search in technological applications and product practices, and to expound its influence on traditional modes. The study reveals that conversational search reshapes users’ patterns of information-seeking, human-computer interaction methods, and language expression modes. It satisfies personalized needs by generating answers and reshapes the information process from passive reception to active customization. Conversational search is validated as an important information-seeking mode and has become a new direction for future information search. It will lead the information service industry towards user-centric and knowledge-based services. Information organizations need to prioritize AI applications and keep up with technological transformations to meet the challenges.