Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition
Name
13428_2022_1906_ReferencePDF.pdf
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4.51 MB
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Checksum (MD5)
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Author(s)
Zettersten, Martin
Yurovsky, Daniel
Xu, Tian L.
Uner, Sarp
Tsui, Angeline S. M.
Schneider, Rose M.
Saleh, Annissa N.
Meylan, Stephan C.
Marchman, Virginia A.
Mankewitz, Jessica
Date Issued
August 24, 2022
Publisher
Springer US
Citation
Zettersten, Martin, Yurovsky, Daniel, Xu, Tian L., Uner, Sarp, Tsui, Angeline S. M. et al. 2022. "Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition."
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.3758/s13428-022-01906-4
