：文章依据用户心智模型评价型情感维度的元素构建评价指标体系，采用问卷调查法收集了493份文献数据库用户的评价数据，采用单因子方差分析法对收集到的数据进行分析。研究发现：随着用户熟练程度的提升，其对文献数据宏观定位和检索方法的评价会显著提高；在后台系统、信息资源、信息组织和检索界面维度，初级用户的评分显著低于中级用户和高级用户，但中级用户和高级用户的评分无显著差异；初级用户的心智模型存在不完备性与不精确性，造成了其对文献数据库的评分结果较低；而文献数据库设计方面的不足造成了中级用户和高级用户的评分无显著差异。

The purpose of this paper is to evaluate academic database based on users' mental model theory. The evaluation indexes are developed by emotion aspects of users' mental model. The collected surveys (n=493), which are from academic database users, are analyzed by one-way analysis of variance method. Study results are as follows: Firstly, with the improvement of users' proficiency, the evaluation scores on macro orientation and retrieval method will also significantly improved; Secondly, on background system, information resource, information organization, retrieval interface aspects, and novice users' evaluation scores are significantly lower than intermediate-level users' and expert users' scores, but there is no significant difference between intermediate-level user and expert user; Thirdly, novice users' mental model is incomplete and inaccurate, and it will result in lower evaluation score. The poor design of academic database results in no significant difference between intermediate-level user and expert user.