眼动
多样性(控制论)
眼球运动
计算机科学
跟踪(教育)
心理学
计算机视觉
人工智能
教育学
作者
Benjamin T. Carter,Steven G. Luke
标识
DOI:10.1016/j.ijpsycho.2020.05.010
摘要
This guide describes best practices in using eye tracking technology for research in a variety of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye movements is provided, along with a description of the sorts of research questions eye tracking can address. We then explain how eye tracking technology works and what sorts of data it generates, and provide guidance on how to select and use an eye tracker as well as selecting appropriate eye tracking measures. Challenges to the validity of eye tracking studies are described, along with recommendations for overcoming these challenges. We then outline correct reporting standards for eye tracking studies.
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