Eye-tracking in vocabulary research: Introduction to the special issue

Ana Pellicer-Sánchez , Maribel Montero Perez
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Abstract

Vocabulary researchers are increasingly making use of the eye-tracking method to investigate topics that were traditionally examined using offline tests. Eye-tracking provides a direct measure of processing effort and attention allocation to lexical items. Previous research has provided useful insights about how different types of lexical items are processed in context and of the factors that affect processing patterns. More recent research has also contributed to our understanding of how unknown lexical items are processed in different learning conditions and its relation to learning gains. While eye-tracking has clearly supported researchers in gaining a clearer and more comprehensive understanding of vocabulary processing and learning, and has become a crucial tool in vocabulary research, currently there are no methodological discussions of eye-tracking with a particular focus on vocabulary. This special issue aims at addressing this gap and provides a detailed discussion of the uses and applications of eye-tracking in vocabulary research. This introduction to the special issue provides a brief review of current topics in eye-tracking based vocabulary research, identifying the main gaps that the special issue sets to answer, and introduces the different contributions of the special issue. The collection of papers that constitute this special issue aims at supporting researchers in conducting eye-tracking studies on lexical processing and learning and thus will help to move the field forward.

词汇研究中的眼动跟踪:特刊简介
词汇研究人员正越来越多地使用眼动跟踪法来研究传统上使用离线测试来研究的课题。眼动跟踪可以直接测量对词汇项目的处理努力和注意力分配。以往的研究对不同类型的词汇项目在语境中如何处理以及影响处理模式的因素提供了有用的见解。最近的研究也有助于我们了解在不同的学习条件下如何处理未知词条及其与学习效果的关系。虽然眼动跟踪显然有助于研究人员更清晰、更全面地了解词汇加工和学习,并已成为词汇研究的重要工具,但目前还没有专门针对词汇的眼动跟踪方法论讨论。本特刊旨在填补这一空白,详细讨论眼动跟踪在词汇研究中的用途和应用。本特刊的导言简要回顾了当前基于眼动跟踪的词汇研究课题,指出了本特刊要填补的主要空白,并介绍了本特刊的不同贡献。构成本特刊的论文集旨在支持研究人员开展词汇加工和学习方面的眼动跟踪研究,从而有助于推动该领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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