| Autor: |
Martin Zettersten, Daniel Yurovsky, Tian Linger Xu, Sarp Uner, Angeline Tsui, Rose M. Schneider, Annissa N Saleh, Stephan Meylan, Virginia A. Marchman, Jess Mankewitz, Kyle Earl MacDonald, Bria Long, Molly Lewis, George Kachergis, Kunal Handa, Benjamin deMayo, Alexandra Carstensen, Mika Braginsky, Veronica Boyce, Naiti Sanjiv Bhatt, Claire Bergey, Michael C. Frank |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Behavior research methods. |
| ISSN: |
1554-3528 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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