Related Experiment Video
Updated: Jun 6, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
Published on: April 19, 2017
What's new? Children prefer novelty in referent selection
Jessica S Horst1, Larissa K Samuelson, Sarah C Kucker
1School of Psychology, University of Sussex, United Kingdom. jessica@sussex.ac.uk
Young children learning new words show a bias for novelty. Even when familiar with objects, toddlers prefer to map new words to the most novel item, influencing language acquisition.
Area of Science:
- Developmental Psychology
- Child Language Acquisition
- Cognitive Science
Background:
- Children learning new words must map novel names to referents.
- Existing research focuses on external information sources (linguistic, contextual, pragmatic).
- The role of internal biases, like novelty preference, is less understood.
Purpose of the Study:
- To investigate how children's familiarity with objects and their bias for novelty affect referent selection.
- To explore endogenous factors influencing early word learning.
Main Methods:
- Two experiments were conducted with 2-year-old children.
- Children were familiarized with novel objects.
- Referent selection was tested using novel names and objects varying in novelty and prior exposure.
Main Results:
- Children consistently selected the most novel object when mapping a new name.
- This bias persisted even when children had prior exposure to some objects.
- A second experiment confirmed this finding, controlling for pragmatic factors.
Conclusions:
- Children's referent selection is significantly influenced by their prior exposure to objects.
- An endogenous bias towards novelty plays a critical role in early word learning.
- Understanding these internal biases is key to comprehending language acquisition processes.
Related Concept Videos
The Nativist Approach
Adler's Individual Psychology
Revisionist Views of Adolescent and Adult Cognition
The Anchoring-and-Adjustment Heuristic
The Representativeness Heuristic
Stereotype Content Model
