信息资源管理学报2025，Vol.15Issue(5)：34-50,17.DOI:10.13365/j.jirm.2025.05.034
"智""数"融合的典型行动:生成式智能搜索引擎交互场景下的数据意义建构
A Typical Action Integrating Intelligence and Data:Data Sensemaking in User-Generated Intelligent Search Engine Interactions
摘要
Abstract
Generative intelligent search engines,which integrate generative artificial intelligence technol-ogy and retrieval techniques,have the potential to support researchers in overcoming challenges during data sensemaking,but they also come with certain risks.Drawing upon sense-making theory,information behav-ior model,information search process model,and information search behavior model,this study preliminarily proposes the Data Search As Data sensemaking(DS-DSM)theoretical model.To explore this model,this study conducts a user experiment on the Bing Copilot platform to understand how researchers construct the meaning of data through interaction with generative intelligent search engines.The findings indicate that in the interaction scenario of generative intelligent search engines,the essence of researchers' data search is data sensemaking.This study also identifies the stages of this process and reveals how,at each stage,re-searchers cognitively,affectively,and behaviorally engage with generative intelligent search engines as a bridge to overcome gaps in the data sensemaking process to complete data-centered tasks.In data-related task situations,researchers' sensemaking begins at the formulation stage.In contrast,in research-related task situations,some researchers first go through initiation,selection,and exploration stages without clear goals.In the formulation stage,the types of gaps researchers face and the bridges they use are the most di-verse,showing the most complex behavioral,cognitive,and affective responses.Based on these findings,this study proposes practical strategies for optimizing the design of generative intelligent search engines and conducting user literacy education.关键词
数据搜索/数据意义建构/生成式智能搜索引擎/智能化科研/数据密集型科学Key words
Data search/Data sensemaking/Generative intelligent search engine/Artificial intelligence for research/Data-intensive science引用本文复制引用
彭思源,伍思颖,凌商,李樵,王平.."智""数"融合的典型行动:生成式智能搜索引擎交互场景下的数据意义建构[J].信息资源管理学报,2025,15(5):34-50,17.基金项目
本文系国家社会科学基金青年项目"开放科学背景下科研用户开放数据发现与重用行为研究"(22CTQ040)的研究成果.(This study was supported by the Youth Program of the National Social Science Foundation of China"Research on Open Data Discovery and Reuse Behavior of Scientific Research Users in the Context of Open Science"(22CTQ040)) （22CTQ040）
