Project Overview
- Status:
Preparing for data collection
We’ve created a Google form to estimate the diversity of languages we will potentially be able to represent with this project. Please fill out this form if you’re interested in collecting data in your language!
In this multi-language project, we aim to investigate children’s recognition of familiar words across various ages and languages, using an online adaptation of the Looking-While-Listening paradigm (Fernald et al., 2008; also known as Intermodal Preferential Looking Paradigm - IPLP: Golinkoff et al., 1987; 2013). As the project name suggests, our goal is to implement this paradigm using a remote method, E-Babylab (Lo et al., 2024), designed to test children from their home. With this project, we aim to replicate previous robust findings of the age effect on word recognition, across multiple languages, and to provide greater clarity to the relationship between children’s eye-tracking measures and parental reports of children's word knowledge. Our approach will help build a more inclusive model of studying infant word recognition, and to develop more resource-friendly adaptations for cross-linguistic research.
Links
- MBAH1-LWL Collaboration Agreement
- Materials protocols and documentation: MBAH1-LWL OSF protocol pages
- Listserv: subscribe (click on “for access, try joining here”)
- Slack: join #mbah1-lwl-general channel in the MB workspace
Project Leads
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Rajalakshmi Madhavan, Chosun University [email]
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Eon-Suk Ko, Chosun University
[email]
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Katie Von Holzen, Georg-August-Universität Göttingen
[email]
MBAH1 Contributors
We encourage everyone who is interested in the project to subscribe to the listserv (see above) and/or contact the Project Leads (mbah1@manybabies.org). Please note that access to infants/an infant lab is NOT a prerequisite.
Contributor list coming soon!
Project contributors can update/add info to the MB Dashboard using this form