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基于眼动追踪技术的WinCC界面评价 被引量:4

Evaluation of WinCC interface based on eye tracking technology
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摘要 为了降低传统界面评估方法中的主观影响和误差,使用眼动仪对3种WinCC显示界面进行了数据认读和异常数据搜索实验,实验数据与界面主观评价进行了分析比较。结果显示;增大显示数字的字号及增加背景提示色面积有助于数据认读的效率提高;注视点个数、注视总时间、眼跳次数、扫视总长度、平均瞳孔直径5个眼动指标对客观评价界面的具有可用性。 In order to reduce the subjective influence and error in traditional interface evaluation methods, the eye-tracking instrument is used to carry out data recognition and anomalous data search experiments on three kinds of WinCC display interfaces. The experimental data are compared with the subjective evaluation of the interface. The results show that enlarging the number of display digits and increasing the color area of background cues are helpful to improve the efficiency of data recognition. Five eye movement indicators, namely the number of fixation points, the total time of fixation, the number of eye jumps, the total length of scanning and the average pupil diameter, are available for objective evaluation of the interface.
作者 王京 马峻 吕世霞 WANG Jing;MA Jun;LU Shixia(College of Automotive Engineering,Beijing Polytechnic,Beijing 100176,China)
出处 《实验技术与管理》 CAS 北大核心 2019年第6期53-57,共5页 Experimental Technology and Management
基金 2014年度北京高等学校教育教学改革立项项目“探索翻转学期式教学,创新人才培养模式,校企共育高端汽车技术技能带头人”(PXM2015_014306_000017) 2018年北京电子科技职业学院科技重点课题“基于动态路径规划的眼动追踪技术研究”(2018Z002-031-KXZ)
关键词 显示界面 界面评价 眼动数据 WINCC display interface interface evaluation eye movement data WinCC
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