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ERIC Number: EJ1039339
Record Type: Journal
Publication Date: 2014
Pages: 6
Abstractor: As Provided
ISSN: ISSN-0009-3920
Infants Segment Continuous Events Using Transitional Probabilities
Stahl, Aimee E.; Romberg, Alexa R.; Roseberry, Sarah; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathryn
Child Development, v85 n5 p1821-1826 Sep-Oct 2014
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.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation; National Institutes of Health (DHHS); National Institute of Child Health and Human Development (NIH)
Authoring Institution: N/A
Grant or Contract Numbers: 0642632|T32 HD007475-17|RO1HD050199