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Peekbank:一个开放的、大规模的儿童单词识别发展眼动追踪数据集存储库。

Peekbank: An open, large-scale repository for developmental eye-tracking data of children's word recognition.

机构信息

Department of Psychology, Princeton University, 218 Peretsman Scully Hall, Princeton, NJ, 08540, USA.

Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA.

出版信息

Behav Res Methods. 2023 Aug;55(5):2485-2500. doi: 10.3758/s13428-022-01906-4. Epub 2022 Aug 24.

Abstract

The ability to rapidly recognize words and link them to referents is central to children's early language development. This ability, often called word recognition in the developmental literature, is typically studied in the looking-while-listening paradigm, which measures infants' fixation on a target object (vs. a distractor) after hearing a target label. We present a large-scale, open database of infant and toddler eye-tracking data from looking-while-listening tasks. The goal of this effort is to address theoretical and methodological challenges in measuring vocabulary development. We first present how we created the database, its features and structure, and associated tools for processing and accessing infant eye-tracking datasets. Using these tools, we then work through two illustrative examples to show how researchers can use Peekbank to interrogate theoretical and methodological questions about children's developing word recognition ability.

摘要

快速识别单词并将其与指称物联系起来的能力是儿童早期语言发展的核心。这种能力,在发展文献中通常被称为单词识别,通常在听-看范式中进行研究,该范式衡量婴儿在听到目标标签后对目标对象(与干扰项相比)的注视时间。我们展示了一个大规模的、开放的婴儿和学步儿童眼动追踪数据的数据库,用于听-看任务。这项工作的目的是解决测量词汇发展的理论和方法学挑战。我们首先介绍了如何创建该数据库、其特点和结构,以及用于处理和访问婴儿眼动追踪数据集的相关工具。然后,我们使用这些工具通过两个示例来说明研究人员如何使用 Peekbank 来探究儿童发展中的单词识别能力的理论和方法学问题。

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