Bullet Graph Versus Gauges Graph: Evaluation Human Information Processing of Industrial Visualization Based on Eye-Tracking Methods

机译：子弹图与仪表图：基于眼跟踪方法的工业可视化的评估人体信息处理

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This paper reports on an experimental study on industrial information visualization interface to measure the mechanism of information style, information complexity and task complexity on human information processing. Based on eye-tracking method, we conducted an experimental research study. The independent variables were information style, information complexity and task complexity. The dependent variables included time to first fixation and subjective feelings. A total of 40 subjects participated in the experiment. The main findings of this study were as follows: (1) information style, information complexity and task complexity significantly influenced the time to first fixation (P <0.05); (2) there is significant interaction between information style*infor-mation complexity, information style*task complexity, information complex-ity*task complexity (P <0.05); (3) the bullet graph provides more efficient reading than gauges graphs. Furthermore, the research results could provide an approach of using eye-tracking method for evaluation information visualization in relevant industrial areas.

机译：本文报告了工业信息可视化界面的实验研究，以测量信息量的信息量，信息复杂性和任务复杂性对人信息处理的作用。基于眼跟踪方法，我们进行了实验研究研究。独立变量是信息风格，信息复杂性和任务复杂性。依赖变量包括第一次固定和主观感受的时间。共有40名受试者参加了实验。本研究的主要结果如下：（1）信息风格，信息复杂性和任务复杂性显着影响了第一次固定的时间（P <0.05）; （2）信息风格之间存在显着的交互*信息风格，信息风格*任务复杂性，信息复杂ITY *任务复杂性（P <0.05）; （3）子弹图提供比仪表图更有效的读数。此外，研究结果可以提供利用眼睛跟踪方法进行评估信息可视化的方法。

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《International Conference on Applied Human Factors and Ergomics》|2019年|xix 1018 pages|共11页
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作者
Lei Wu; Lingli Guo; Hao Fang; Lijun Mou;
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中图分类 TP316-532;
关键词
Industrial visualization; Evaluation method; Human information processing; Cognitive psychology; Eye-tracking;

机译：工业可视化;评估方法;人物信息处理;认知心理学;追踪;

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Bullet Graph Versus Gauges Graph: Evaluation Human Information Processing of Industrial Visualization Based on Eye-Tracking Methods

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