文献数据库用户心智模型演进驱动因素结构测量研究

发布时间：2018-04-15 09:00

本文选题：文献数据库 + 信息检索　；参考：《图书情报工作》2017年15期

【摘要】：[目的/意义]对文献数据库用户心智模型演进的驱动因素结构进行测量。[方法/过程]研究采用问卷调查法收集483份关于文献数据库用户对其心智模型演进驱动因素认知的问卷,采用二阶验证性因素分析方法对收集到的数据进行分析。[结果/结论]研究发现文献数据库用户心智模型的驱动因素有文献数据库界面引导与提示、自我摸索、与同学交流、文献数据库信息服务产品、搜索引擎学习迁移、简单信息检索任务、复杂信息检索任务、信息检索课程、请教老师、图书馆信息检索培训和购物网站学习迁移。这些因素对用户心智模型演进的重要性依次升高。此外,由于用户心智模型构成维度的复合性,每种驱动因素对文献数据库内容认知、信息检索方法认知、信息检索结果筛选的影响都存在差异。研究结果可为文献数据库的界面优化设计和用户信息素养培训提供指导建议。
[Abstract]:Objective / significance to measure the driver structure of the evolution of the user's mental model in the literature database.[methods] A questionnaire survey method was used to collect 483 questionnaires about users' cognition of the drivers of mental model evolution, and the second order confirmatory factor analysis method was used to analyze the collected data.[results / conclusion] it was found that the driving factors of the user's mental model in the literature database were the interface guidance and hint of the document database, self-groping, communicating with the students, the product of the document database information service, and the learning transfer of the search engine.Simple information retrieval tasks, complex information retrieval tasks, information retrieval courses, consulting teachers, library information retrieval training and shopping website learning transfer.The importance of these factors to the evolution of the user's mental model increases in turn.In addition, because of the complexity of the user's mental model, the influence of each driving factor on the content cognition, information retrieval method cognition and information retrieval result screening of the document database is different.The results can provide guidance and suggestions for the interface optimization design and user information literacy training of the document database.
【作者单位】：南京农业大学信息科学技术学院领域知识关联研究中心;北方自动化控制研究所;
【基金】：国家社科青年基金资助项目“人机交互环境下文献数据库用户心智模型演进机理研究”(项目编号:14CTQ023)研究成果之一
【分类号】：G250.74

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