Modeling Individual Differences in Children’s Information Integration During Pragmatic Word Learning
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Authors
Pragmatics is foundational to language use and learning. Computational cognitive models have been successfully used to predict pragmatic phenomena in adults and children – on an aggregate level. It is unclear if they can be used to predict behavior on an individual level. We address this question in children (N = 60, 3- to 5-year-olds), taking advantage of recent work on pragmatic cue integration. In Part 1, we use data from four independent tasks to estimate child-specific sensitivity parameters to three information sources: semantic knowledge, expectations about speaker informativeness, and sensitivity to common ground. In Part 2, we use these parameters to generate participant-specific trial-by-trial predictions for a new task that jointly manipulated all three information sources. The model accurately predicted children’s behavior in the majority of trials. This work advances a substantive theory of individual differences in which the primary locus of developmental variation is sensitivity to individual information sources.
Originalsprache | Englisch |
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Zeitschrift | Open Mind |
Jahrgang | 6 |
Seiten (von - bis) | 311–326 |
Anzahl der Seiten | 16 |
DOIs | |
Publikationsstatus | Erschienen - 16.12.2022 |
Extern publiziert | Ja |
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© 2022 Massachusetts Institute of Technology.
- Psychologie