人工智能场景下用户替代性信息搜寻行为模式转移意愿研究

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中图分类号：G203 文献标识码：A DOI：10.11968/tsyqb.1003-6938.2025026

A Study of Users’Willingness to Transfer Surrogate Information Seeking Behavior Patterns in Artificial Intelligence Scenarios

Abstract The developmentof generativeAI is changing the user's alternative information search mode，prompting the user's preferenceto shift betweenthe traditional human-mediated alternative information search modeand the new human-machine alternativesearch mode mediated by generative AI. Based on the problems and differences between the human-human alternative search mode and the human-machine alternative search mode，this paper provides an in-depth analysisof thekeyfactorsaffectingtheuserswillingness totransferbetweenthese twomodes，whichisofgreatsignificance for enhancingthe eficiency of information search andoptimizing the generative AI products.Based onthe PPM （Push-Pull-Mooring）model，two modelsofusers‘willingness totransfer（willingness totransferfrom human-humanalternative searchtohuman-machine altermative searchand willingnessto transferfromhuman-machine alternativesearch to huma-humanalternativesearch）wereconstructed，andthequestionnairesurveywasusedtocolect4O7and430valid sample data，respectively，and the subsequent data analysis and hypothesis testing were caried outusing SPSS and AMOS software.The willingness to transfer human-human surrogate search to human-machine surrogate search is affectedbyacombinationofpushactors（disstisfactionwithiformationquality），pullfctors （interactivityanthropomor phism，accessibility），andanchoringfactors （individualinnovativeness，transfercosts）.Thewilingnsstotrasferfrom human-machine to human-human surrogate search is influenced byacombination of push factors （dissatisfaction with service quality，privacy risk），pull factors （trust），and anchoring factors （social support）.

Key words surrogate information seeking behavior;PPM model;information seeking behavior

20世纪90年代以来，社会信息化进程的加快推动了我国社会经济的快速发展，但是由此带来的信息鸿沟（又称为数字鸿沟），已成为继城乡差别、工农差别、脑体差别之后我国社会的"第四大差别”。（剩余20556字）