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Enregistrement W2403793628

Communication and Categorization: New Insights into the Relation Between Speech, Labels and Concepts for Infants

2013· article· en· W2403793628 sur OpenAlexfundno aff
Brock Ferguson, Sandra R. Waxman

Notice bibliographique

RevueeScholarship (California Digital Library) · 2013
Typearticle
Langueen
DomainePsychology
ThématiqueLanguage Development and Disorders
Établissements canadiensnon disponible
Organismes subventionnairesSocial Sciences and Humanities Research Council of CanadaNational Science Foundation
Mots-clésCategorizationPsychologyPerceptCognitive psychologyPerceptionLinguisticsCognitive science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Communication and Categorization: New Insights into the Relation Between Speech, Labels and Concepts for Infants Brock Ferguson (brock@u.northwestern.edu) Sandra R. Waxman (s-waxman@northwestern.edu) Department of Psychology, Northwestern University, 2029 Sheridan Rd. Evanston, IL 60208 USA Abstract Almost two decades of research has demonstrated that labels facilitate infants’ categorization of novel objects. Some interpret this as evidence of an early link between infants’ linguistic and conceptual systems. Others suggest that these effects stem exclusively from lower-level processing mechanisms in cross-modal perception, and that words promote categorization only because they are more familiar to infants than non-linguistic acoustic stimuli and therefore easier to process. Here we address these discrepant interpretations using a novel approach. We expose infants to unfamiliar non-linguistic stimuli (sine-wave tone sequences), manipulating the exposure conditions. For 6-month-olds, if the novel acoustic stimuli were embedded within a communicative episode, they subsequently facilitated categorization (Experiment 1), but if they were presented in a non-communicative episode, they had no such effect (Experiment 2). We propose a developmental model that takes infants’ burgeoning perceptual and conceptual capacities into account in identifying how communication and words are linked to concepts. Keywords: language development; words; categorization; auditory overshadowing; infancy concepts; Introduction The nature of word learning has been the focus of a noteworthy debate in recent years. At stake is the relationship between words and concepts: Are words merely associated with objects by infants, as any percept might be associated with another (e.g., Sloutsky & Fisher, 2012)? Or might even the youngest word learners appreciate words as symbols that refer to concepts (e.g., Waxman & Gelman, 2009)? Further, if there is a privileged link between words and concepts in infancy, how is it established? Evidence for this latter position, positing an early and unique link between words and concepts, comes from numerous studies demonstrating that infants integrate domain-specific knowledge about words when they map novel words to objects (Fennell & Waxman, 2010; Namy & Waxman, 2000; Woodward & Hoyne, 1999), generalize words to object concepts (Booth & Waxman, 2009; Booth, Waxman, & Huang, 2005), make inferences about hidden properties of named objects (Diesendruck & Graham, 2010; Gelman & Heyman, 1999; Graham, Booth, & Waxman, 2012), and individuate named objects (Dewar & Xu, 2007; There is also evidence for a developmental cascade underlying infants’ establishment of a link between words and concepts. Initially, infants appear to hold a broad expectation that words refer to commonalities amongst objects (Waxman, 2003). With development, they refine this broad expectation to link particular types of words (e.g., nouns, adjectives) to particular types of categories (e.g., object categories, property categories) (Booth & Waxman, 2009). This increasingly precise relation between words and concepts can be observed over the first year in object categorization tasks. Infants hearing human language successfully form categories, but other matched acoustic stimuli (e.g., sine-wave tone sequences) do not (Balaban & Waxman, 1997; Fulkerson & Haaf, 2003; Fulkerson & Waxman, 2007; Waxman & Markow, 1995). More recent evidence reveals that infants as young as 3- and 4-months (who do not yet segment distinct words from fluent speech) form object categories in the context of human speech, but not in the context of sine-wave tones (Ferry, Hespos & Waxman, 2010). Thus over the first year, infants’ response to words may be a refinement of a broader and earlier response to communicative signals. Some researchers have argued that the influence of language in these studies reflects cross-modal perceptual processing alone (Robinson & Sloutsky, 2007; Sloutsky & Robinson, 2008). Their claims are clear: (1) object categorization tasks with paired acoustic stimuli recruit infants’ cross-modal processing abilities, (2) unfamiliar auditory stimuli impede visual processing through “auditory overshadowing”, and (3) verbal labels are more familiar to infants than the acoustic stimuli (e.g., tone sequences) to which they are typically compared (Sloutsky & Robinson, 2008). On this account, words benefit category formation only insofar as they are acoustically familiar. Here we take a novel empirical approach to tease apart these two accounts. In each experiment, infants participated in a standard object categorization task. But instead of pitting human language against unfamiliar sounds, all infants heard the same unfamiliar sounds: sine-wave tone sequences. Crucially, we introduced infants to these novel sounds in a video before they were presented within an object categorization task. This gave us full control over infants’ prior exposure to these novel stimuli, which in turn permits us to ascertain the precise exposure conditions that enable an auditory stimulus to facilitate visual categorization. In Experiment 1, we ask whether embedding

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,214
Score d'incertitude au seuil0,763

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,003
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,259
Écart entre enseignants0,243 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations16
Publié2013
Routes d'admission1
Résumé présentoui

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