Infants Segment Continuous Events Using Transitional Probabilities.

Saved in:
Bibliographic Details
Title: Infants Segment Continuous Events Using Transitional Probabilities.
Authors: Stahl, Aimee E., Romberg, Alexa R., Roseberry, Sarah, Golinkoff, Roberta Michnick, Hirsh‐Pasek, Kathryn
Source: Child Development. Sep/Oct2014, Vol. 85 Issue 5, p1821-1826. 6p. 1 Diagram, 2 Charts.
Subjects: Infant psychology, Human information processing in children, Perception in infants, Cognition in infants, Prompts (Psychology), Learning
Abstract: Throughout their 1st year, infants adeptly detect statistical structure in their environment. However, little is known about whether statistical learning is a primary mechanism for event segmentation. This study directly tests whether statistical learning alone is sufficient to segment continuous events. Twenty-eight 7- to 9-month-old infants viewed a sequence of continuous actions performed by a novel agent in which there were no transitional movements that could have constrained the possible upcoming actions. At test, infants distinguished statistically intact units from less predictable ones. The ability to segment events using statistical structure may help infants discover other cues to event boundaries, such as intentions, and carve up the world of continuous motion in meaningful ways. [ABSTRACT FROM AUTHOR]
Copyright of Child Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
Description
Abstract:Throughout their 1st year, infants adeptly detect statistical structure in their environment. However, little is known about whether statistical learning is a primary mechanism for event segmentation. This study directly tests whether statistical learning alone is sufficient to segment continuous events. Twenty-eight 7- to 9-month-old infants viewed a sequence of continuous actions performed by a novel agent in which there were no transitional movements that could have constrained the possible upcoming actions. At test, infants distinguished statistically intact units from less predictable ones. The ability to segment events using statistical structure may help infants discover other cues to event boundaries, such as intentions, and carve up the world of continuous motion in meaningful ways. [ABSTRACT FROM AUTHOR]
ISSN:00093920
DOI:10.1111/cdev.12247