中文摘要：

针对动车组显控界面设计中汉字字体特征对司机视觉识别效率影响性问题,以正确选择反应时为识别效率指标,采用2因素被试内实验设计,考察10种常用汉字字体、4种汉字复杂度水平对动车组司机识别效率的影响性。对于实验数据,采用ANOVA方法进行主效应分析,并对同一因素的不同水平进行对比分析。结果表明：汉字字体、汉字复杂度对司机识别效率影响性显著,但其交互作用对识别效率影响性不显著;常用汉字字体中,黑体、宋体的反应时最短（平均426ms）,应当作为动车组显控界面设计的优选字体集,华文行魏、方正姚体、华文隶书、楷体、隶书、幼圆的反应时次之（平均433ms）,可作为动车组显控界面备选字体集;方正舒体、华文行楷的反应时最长（平均546ms）,动车组显控界面字体选择时应尽量避免;汉字识别效率随复杂度增加而降低,但当汉字复杂度达到9画后,这种影响趋于平缓。

英文摘要：

The purpose of this study is to examine the influence of the features of chinese character typefaces of EMU display and control interface on driver＇s visual recognition efficiency. During the experiments, based on correct choice reaction time as recognition efficiency index, two-factor within-subjects experimental design was adopted to explore the effect of 10 commonly used fonts of Chinese Characters and four complexity levels of Chinese characters on driver＇s recognition efficiency. Based on the experimental data, the ANOVA method was used to analyze the main effect of two factors and differences between different levels of the same faetors. The result shows the impacts of the font and complexity of Chinese characters on driver＇s recognition efficiency are significant, while the impact of the interaction of two factors is insignificant. Among the commonly used fonts of Chinese characters, the Song typeface and Hei typeface, showing their shortest average reaction time （426 ms）, are the best choices of typeface for EMU display and control interface. Following Song typeface and Boldface typeface are Huawenxingwei typeface, Fangzhengyaoti typeface, Huawenlishu typeface, Kaiti typeface, Lishu typeface and Youyuan typeface, with longer average reaction time （433 ms）, which can be used as alternative font set for EMU display and control interface. The average reaction time of Fangzhengshuti typeface and Huawenxingkai typeface is the longest （546 ms）, which are not fit for EMU display and control interface. The impact of complexity of Chinese characters is limited. The recognition efficiency is steadily reduced with the increase of complexity. But after the complexity of a Chinese character is beyond nine strokes, the impact of complexity tends to be gentle. Key words： EMU; features of chinese character ; recognition efficiency; display and control interface