Computer interface evaluation using eye movements: methods and constructs
Computer interface evaluation using eye movements: methods and constructs
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DOI：
10.1016/s0169-8141(98)00068-7
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发表时间：
1999-10-05
影响因子：
3.1
通讯作者：
Kotval, XP
中科院分区：
文献类型：
--
作者：
Goldberg, JH;Kotval, XP
基于眼动的分析可以增强计算机接口的传统性能、协议和走查评估。尽管在任务中的眼动数据收集的大量历史，仍然是一个有组织的定义和适当的措施的评估是一个巨大的需求。几个措施的基础上，眼球运动的位置和扫描路径进行了评估，以评估其有效性评估的接口质量。通过操纵工具图标的分组，开发了绘图工具选择程序的好界面和差界面。这些随后由50名界面设计师和典型用户进行了评估。12名受试者使用的接口，而他们的眼球运动被收集。与一组随机组织的组件按钮相比，组织良好的功能分组可以缩短扫描路径，覆盖更小的区域。较差的接口导致更多，但类似的持续时间，固定比更好的接口。而穷人的接口产生效率较低的搜索行为，组件表示的布局并没有影响他们的可解释性。总体而言，从眼球运动获得的数据可以显着提高观察用户的策略，同时使用计算机接口，这可以随后提高计算机接口evaluations.Relevance的精度到industryThe软件开发行业需要改进的方法，客观的分析和设计的软件接口。这项研究提供了一个基础，使用眼动分析的一部分，界面分析的许多阶段的客观评价工具。本方法在其基于眼动的测量的定义方面是指导性的，并且对于这些测量的效用是评价性的。(C)1998 Elsevier Science B.V，保留所有权利。
Eye movement-based analysis can enhance traditional performance, protocol, and walk-through evaluations of computer interfaces. Despite a substantial history of eye movement data collection in tasks, there is still a great need for an organized definition and evaluation of appropriate measures. Several measures based upon eye movement locations and scanpaths were evaluated here, to assess their validity for assessment of interface quality. Good and poor interfaces for a drawing tool selection program were developed by manipulating the grouping of tool icons. These were subsequently evaluated by a collection of 50 interface designers and typical users. Twelve subjects used the interfaces while their eye movements were collected. Compared with a randomly organized set of component buttons, well-organized functional grouping resulted in shorter scanpaths, covering smaller areas. The poorer interface resulted in more, but similar duration, fixations than the better interface. Whereas the poor interface produced less efficient search behavior, the layout of component representations did not influence their interpretability. Overall, data obtained from eye movements can significantly enhance the observation of users' strategies while using computer interfaces, which can subsequently improve the precision of computer interface evaluations.Relevance to industryThe software development industry requires improved methods for the objective analysis and design of software interfaces. This study provides a foundation for using eye movement analysis as part of an objective evaluation tool for many phases of interface analysis. The present approach is instructional in its definition of eye movement-based measures, and is evaluative with respect to the utility of these measures. (C) 1998 Elsevier Science B.V, All rights reserved.