科技情报研究2025，Vol.7Issue(2)：48-57,10.DOI:10.19809/j.cnki.kjqbyj.2025.02.005
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
摘要
Abstract
[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Key words
ancient book large language models/dropout behavior/psychological resilience/large language model us-ers/technical resilience分类
社会科学引用本文复制引用
张海,方吉萍,王东波..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[J].科技情报研究,2025,7(2):48-57,10.基金项目
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) （编号:21&ZD331）
