Camilli Marco, Nacchia Roberto, Terenzi Michela, Di Nocera Francesco
University of Rome La Sapienza, Rome, Italy.
Behav Res Methods. 2008 May;40(2):373-82. doi: 10.3758/brm.40.2.373.
In human factors and ergonomics research, the analysis of eye movements has gained popularity as a method for obtaining information concerning the operator's cognitive strategies and for drawing inferences about the cognitive state of an individual. For example, recent studies have shown that the distribution of eye fixations is sensitive to variations in mental workload---dispersed when workload is high, and clustered when workload is low. Spatial statistics algorithms can be used to obtain information about the type of distribution and can be applied over fixations recorded during small epochs of time to assess online changes in the level of mental load experienced by the individuals. In order to ease the computation of the statistical index and to encourage research on the spatial properties of visual scanning, A Simple Tool for Examining Fixations has been developed. The software application implements functions for fixation visualization, management, and analysis, and includes a tool for fixation identification from raw gaze point data. Updated information can be obtained online at www.astef.info, where the installation package is freely downloadable.
在人因工程学研究中，眼动分析作为一种获取有关操作员认知策略信息以及推断个体认知状态的方法而受到欢迎。例如，最近的研究表明，眼注视点的分布对心理负荷的变化很敏感——当负荷高时分散，当负荷低时聚集。空间统计算法可用于获取有关分布类型的信息，并可应用于在小时间段内记录的注视点，以评估个体所经历的心理负荷水平的在线变化。为了简化统计指标的计算并鼓励对视觉扫描的空间特性进行研究，已开发了一种简单的注视点检查工具。该软件应用程序实现了注视点可视化、管理和分析功能，并包括一个从原始注视点数据中识别注视点的工具。可在www.astef.info在线获取更新信息，在该网站可免费下载安装包。
