GazeR: A Package for Processing Gaze Position and Pupil Size Data.
GazeR: A Package for Processing Gaze Position and Pupil Size Data.
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DOI：
10.3758/s13428-020-01374-8
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发表时间：
2020-10
影响因子：
5.4
通讯作者：
Mirman D
中科院分区：
文献类型：
--
作者：
Geller J;Winn MB;Mahr T;Mirman D
眼动追踪广泛应用于整个科学界，从视觉科学和心理语言学到营销和人机交互。令人惊讶的是，在预处理步骤中几乎没有一致性和透明度，使得复制性和再现性变得困难。为了提高可复制性、可再现性和透明度，R（一种免费且广泛使用的统计编程环境）中创建了一个名为gazeR的软件包，用于读取和预处理两种类型的数据：凝视位置和瞳孔大小。对于注视位置数据，gazeR具有阅读原始眼动跟踪数据、格式化以供分析、从注视坐标转换为感兴趣区域以及合并和聚合数据的功能。对于瞳孔测量研究的数据，gazeR软件包具有阅读和合并多个原始瞳孔数据文件、删除丢失数据过多的观察结果、消除伪影、眨眼识别和插值、减法基线校正以及合并和聚合数据的功能。该软件包是开源的，可免费下载和安装：https://github.com/dmirman/gazer。我们提供了对来自两个任务的数据的逐步分析，以举例说明该软件包的功能。
Eye-tracking is widely used throughout the scientific community, from vision science and psycholinguistics to marketing and human-computer interaction. Surprisingly, there is little consistency and transparency in preprocessing steps, making replicability and reproducibility difficult. To increase replicability, reproducibility, and transparency, a package in R (a free and widely used statistical programming environment) called gazeR was created to read and preprocess two types of data: gaze position and pupil size. For gaze position data, gazeR has functions for reading in raw eye-tracking data, formatting it for analysis, converting from gaze coordinates to areas of interest, and binning and aggregating data. For data from pupillometry studies, the gazeR package has functions for reading in and merging multiple raw pupil data files, removing observations with too much missing data, eliminating artifacts, blink identification and interpolation, subtractive baseline correction, and binning and aggregating data. The package is open-source and freely available for download and installation: https://github.com/dmirman/gazer. We provide step-by-step analyses of data from two tasks exemplifying the package’s capabilities.
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