摘要
以“理论模型重构—技术要素耦合—应用场景分析”为研究路径,提炼Wilson信息行为模型的六大核心要素,如需求识别、信息搜寻、使用评估、反馈循环、情境交互、压力障碍,并以信息行模型的六大核心要素与阅读行为的同质性为切入点,以高校图书馆为具体研究情境,将生成式AI技术特性与阅读行为各要素深度融合,构建AI赋能阅读推广理论框架,同时提出不同阅读场景下的差异化赋能策略,旨在破解传统阅读推广难题,助力高校图书馆基于场景特性深化AI技术应用,推动阅读推广向精准化、个性化、场景化方向发展。
Following the research path of“theoretical model reconstruction—technical element coupling—application scenario analysis”,this paper identifies the six core elements of Wilson′s Information Behavior Model,such as needs identification,information seeking,usage evaluation,feedback loop,contextual interaction,and pressure and barriers.Taking the homogeneity between the six core elements of information behavior model and reading behavior as the entry point,and focusing on university libraries as the specific research context,the paper deeply integrates the technical characteristics of generative AI with each element of read⁃ing behavior,to construct a theoretical framework for AI-empowered reading promotion.Additionally,dif⁃ferentiated empowerment strategies are proposed for various reading scenarios,aiming to address the tradi⁃tional challenges in reading promotion,assist university libraries in deepening AI technology applications based on scenario characteristics,and promote the development of reading promotion toward precision,per⁃sonalization,and contextualization.
作者
游祎
郑钰
刘萱
YOU Yi;ZHENG Yu;LIU Xuan(Library of China Foreign Affairs University,Beijing 102206,China)
出处
《图书馆研究》
2025年第6期4-12,共9页
Library Research
关键词
Wilson信息行为模型
生成式人工智能
阅读推广
高校图书馆
Wilson information behavior models
generative artificial intelligence
reading promotion
university li⁃brary
