韧性理论视域下古籍大语言模型用户中辍行为影响因素研究  

Research on the Influencing Factors of Dropout Behavior among Users of Ancient Language Models from the Perspective of Resilience Theory

作　　者：张海 方吉萍 王东波[3] ZHANG Hai;FANG Jiping;WANG Dongbo(School of Business and Management,Jiaxing Nanhu University,Jiaxing 314001;Library,Jiaxing Nanhu University,Jiaxing 314001;School of Information Management,Nanjing Agricultural University,Nanjing 210095)

机构地区：[1]嘉兴南湖学院商贸管理学院,嘉兴314001 [2]嘉兴南湖学院图书馆,嘉兴314001 [3]南京农业大学信息管理学院,南京210095

出　　处：《科技情报研究》2025年第2期48-57,共10页Scientific Information Research

基　　金：国家社会科学基金重大项目“中国古代典籍跨语言知识库构建及应用研究”(编号:21&ZD331)。

摘　　要：[目的/意义]古籍数字化与大语言模型深度融合是未来的发展趋势。为厘清古籍大语言模型用户中辍行为影响因素与形成机理,化解大语言模型用户中辍风险,实现高质量用户留存,促进古籍大语言模型的可持续发展。[方法/过程]本研究基于韧性理论,借鉴扎根理论对30位古籍大语言模型用户深度访谈,得到一手资料进行编码解构,重点抽取与韧性理论相关的影响因素和概念范畴,进而构建韧性理论视角下古籍大语言模型用户中辍行为的形成机理研究模型。[结果/结论]研究结果显示,韧性因素、认知因素和情境因素是影响古籍大语言模型用户中辍行为的重要因素,其中韧性因素包括信息韧性、技术韧性和环境韧性3个维度,心理韧性主要经历情绪应激、情感韧性和认知韧性3个阶段。研究结果为有效预防古籍大语言模型用户中辍,实现高质量用户留存提供了必要借鉴。[Purpose/significance]The deep integration of ancient book digitization and large language models is the fu⁃ture development trend.In order to clarify the influence factors and formation mechanisms of dropout behavior among users of domain ancient book large language models,mobilize the willingness of users to use large language models,achieve high-quality user retention,and promote the non-human high-quality development of domain large language models.[Method/process]This study takes users in the field of ancient books as an example,based on resilience theo⁃ry,and draws on grounded theory research methods to code and deconstruct first-hand data obtained from in-depth interviews with 30 users of ancient book large language models.The focus is on extracting influencing factors and con⁃ceptual categories from the perspective of resilience theory,and then constructing a research model on the mechanism of dropout behavior formation among users of ancient book large language models from the perspective of resilience theory.[Result/conclusion]The research results show that resilience factors,psychological resilience,cognitive factors,and situational factors are important factors affecting the dropout behavior of users of the ancient book large language model.Resilience factors include three dimensions:information resilience,technological resilience,and environmental resilience.Psychological resilience mainly goes through three stages:emotional stress,emotional resilience,and cogni⁃tive resilience.The research results provide necessary reference for effectively preventing users of ancient language models from dropout and achieving high-quality user retention.

关 键 词：古籍大语言模型 中辍行为 心理韧性 大语言模型用户 技术韧性 

分 类 号：G251[文化科学—图书馆学]