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GenAI情境下用户个性化健康信息搜寻行为模式研究

何可佳 景雨田 田雅其 李新月 朱庆华

现代情报2026,Vol.46Issue(5):101-113,13.
现代情报2026,Vol.46Issue(5):101-113,13.DOI:10.3969/j.issn.1008-0821.2026.05.008

GenAI情境下用户个性化健康信息搜寻行为模式研究

Exploration of Personalized Health Information-Seeking Behavior Model in the Context of GenAI

何可佳 1景雨田 1田雅其 1李新月 2朱庆华1

作者信息

  • 1. 南京大学信息管理学院,江苏 南京 210013
  • 2. 上海大学文化遗产与信息管理学院,上海 200444
  • 折叠

摘要

Abstract

[Purpose/Significance]Generative artificial intelligence(GenAI)has become increasingly integrated into public life,serving as an important tool for personalized health information search.Understanding users'personalized health information search behaviors in this context contributes to optimizing health information services in the intelligent era.[Method/Process]Texts related to"GenAI-customized recipes"were collected from Weibo and Xiaohongshu.Using computational grounded theory,data were analyzed through three stages—model identification,model refinement,and model validation—to extract users'motivations,behavioral processes,and experiences,and to construct a corresponding model diagram.[Result/Conclusion]Users'motivations mainly include health information needs,psychological regula-tion needs,economic benefits,and social support needs,which are jointly influenced by external social environments and internal user characteristics.Their search behaviors consist of three stages:platform selection,prompt design,and perso-nalized nutrition consultation.After searching,users form varied experiences in functional,emotional,and risk dimen-sions,which in turn influence subsequent motivations.In addition,the resource attributes,functional services,and techno-ethical features of GenAI systems significantly affect users'behavioral paths and experiential perceptions.

关键词

生成式人工智能/个性化健康信息/健康信息搜寻/计算扎根理论/用户生成内容

Key words

generative artificial intelligence/personalized health information/health information seeking/computa-tional grounded theory/UGC

分类

医药卫生

引用本文复制引用

何可佳,景雨田,田雅其,李新月,朱庆华..GenAI情境下用户个性化健康信息搜寻行为模式研究[J].现代情报,2026,46(5):101-113,13.

基金项目

国家自然科学基金项目"社交媒体环境下失真健康信息的传播机制与协同治理研究"(项目编号:72174083). (项目编号:72174083)

现代情报

OACHSSCD

1008-0821

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