基于分布式认知的文献数据库用户心智模型演进驱动因素研究

发布时间：2018-05-21 13:38

本文选题：信息行为 + 心智模型　；参考：《情报学报》2017年01期

【摘要】：本文从分布式认知理论视角对文献数据库用户心智模型演进的驱动因素进行研究。研究采用问卷调查法收集了194份关于研究生与科研人员对其心智模型演进驱动因素认知的调查问卷,并综合利用因子分析法、平均数差异检验法和单因素方差分析法对收集到的数据进行分析。研究发现:第一,文献数据库用户心智模型的驱动因素主要有简单信息检索任务、搜索引擎学习迁移、文献数据库界面引导与提示、自己摸索、复杂信息检索任务、信息检索课程、与同学交流、请教老师、购物网站学习迁移、图书馆信息检索培训和文献数据库信息服务产品。这些因素对于用户心智模型演进的重要程度依次降低。第二,这些驱动因素与分布式认知理论的内容相对应,从实证的角度佐证了分布式认知理论作为文献数据库用户心智模型演进驱动因素的理论基础的可行性。第三,对于个人经历和人口统计学特征不同的用户而言,部分驱动因素存在显著的个体差异。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]:From the perspective of distributed cognitive theory, this paper studies the driving factors of the evolution of document database user's mental model. The study collected 194 questionnaires about graduate students and researchers' cognition about the driving factors of their mental model evolution, and used factor analysis method synthetically. The average difference test and single factor variance analysis were used to analyze the collected data. The results show that: first, the driving factors of the user's mental model of literature database are simple information retrieval task, search engine learning transfer, document database interface guide and hint, self-groping, complex information retrieval task. Information retrieval courses, exchange with students, consult teachers, shopping website learning transfer, library information retrieval training and document database information service products. The importance of these factors to the evolution of the user's mental model decreases in turn. Secondly, these drivers correspond to the content of distributed cognitive theory, which proves the feasibility of distributed cognitive theory as the theoretical basis of the evolution of intellectual model of document database users. Thirdly, for users with different personal experiences and demographics, there are significant individual differences in some drivers. 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技学院南京农业大学领域知识关联研究中心;
【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”(14CTQ023)
【分类号】：G252

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