Daylong egocentric recordings in small- and large-scale language communities: A practical introduction.


Journal

Advances in child development and behavior
ISSN: 0065-2407
Titre abrégé: Adv Child Dev Behav
Pays: United States
ID NLM: 0370417

Informations de publication

Date de publication:
2024
Historique:
medline: 30 7 2024
pubmed: 30 7 2024
entrez: 29 7 2024
Statut: ppublish

Résumé

Daylong egocentric (i.e., participant-centered) recordings promise an unprecedented view into the experiences that drive early language learning, impacting both assumptions and theories about how learning happens. Thanks to recent advances in technology, collecting long-form audio, photo, and video recordings with child-worn devices is cheaper and more convenient than ever. These recording methods can be similarly deployed across small- and large-scale language communities around the world, opening up enormous possibilities for comparative research on early language development. However, building new high-quality naturalistic corpora is a massive investment of time and money. In this chapter, we provide a practical look into considerations relevant for developing and managing daylong egocentric recording projects: Is it possible to re-use existing data? How much time will manual annotation take? Can automated tools sufficiently tackle the questions at hand? We conclude by outlining two exciting directions for future naturalistic child language research.

Identifiants

pubmed: 39074924
pii: S0065-2407(24)00005-3
doi: 10.1016/bs.acdb.2024.05.002
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

29-53

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Marisa Casillas (M)

Comparative Human Development Department, University of Chicago. Electronic address: mcasillas@uchicago.edu.

Kennedy Casey (K)

Department of Psychology, Princeton University.

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Classifications MeSH