Schotter Elizabeth R, Dillon Brian
Department of Psychology, University of South Florida, 4202 E. Fowler Ave. PCD 4118G, Tampa, FL, 33620, USA.
Department of Linguistics, University of Massachusetts, 650 North Pleasant Street, Amherst, MA, 01003, USA.
Behav Res Methods. 2025 Jan 22;57(2):68. doi: 10.3758/s13428-024-02572-4.
Eye tracking has been a popular methodology used to study the visual, cognitive, and linguistic processes underlying word recognition and sentence parsing during reading for several decades. However, the successful use of eye tracking requires researchers to make deliberate choices about how they apply this technique, and there is wide variability across labs and fields with respect to which choices are "standard." We aim to provide an easy-to-reference guideline that can help new researchers with their entrée into eye-tracking-while-reading research. Because the standards do - and should - vary from field to field or study to study as is appropriate for the research question, we do not set a rigid recipe for handling eye tracking data, but rather provide a conceptual framework within which researchers can make informed decisions about how to treat their data so that it is most informative for their research question. Therefore, this paper provides a description of eye movements in reading and an overview of psycholinguistic research on the topic, an overview of experiment design considerations, a description of the data processing pipeline and important choice points and implications, an overview of common dependent measures and their calculation, and a summary of resources for data analysis.
几十年来，眼动追踪一直是一种流行的研究方法，用于研究阅读过程中单词识别和句子解析背后的视觉、认知和语言过程。然而，成功使用眼动追踪要求研究人员对如何应用这项技术做出审慎选择，而且在不同实验室和领域之间，关于哪些选择是“标准的”存在很大差异。我们旨在提供一份便于参考的指南，帮助新研究人员进入阅读时眼动追踪研究领域。由于标准确实会且应该因领域或研究而异，以适应研究问题，我们没有为处理眼动追踪数据设定严格的方法，而是提供一个概念框架，研究人员可以在此框架内就是否处理他们的数据做出明智的决定，以便数据对他们的研究问题最具参考价值。因此，本文描述了阅读中的眼动，概述了关于该主题的心理语言学研究，概述了实验设计考量，描述了数据处理流程、重要的选择点及其影响，概述了常见的因变量测量及其计算方法，并总结了数据分析资源。
