Author NoteAcknowledgements. We would like to thank the labs and researchers that have made their data publicly available in the database. For further information about contributions, see https://langcog.github.io/peekbank-website/docs/contributors/. This work was supported in part by grants from the National Institutes of Health awarded to VM (R01 HD092343, 2R01 HD069150).Open Practices Statement. All code for reproducing the paper is available at https://github.com/langcog/peekbank-paper. Raw and standardized datasets are available on the Peekbank OSF repository (https://osf.io/pr6wu/) and can be accessed using the peekbankr R package (https://github.com/langcog/peekbankr).CRediT author statement. Outside of the position of the first and the last author, authorship position was determined by sorting authors' last names in reverse alphabetical order. An overview of authorship contributions following the CRediT taxonomy can be viewed here: https://docs.google.com/spreadsheets/d/e/2PACX-1vRD-LJD_dTAQaAynyBl wXvGpfAVzP-3Pi6JTDoG15m3PYZe0c44Y12U2a_hwdmhIstpjyigG2o3na4y/pubhtml.
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.
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