journal article Sep 01, 2014

Infants Segment Continuous Events Using Transitional Probabilities

View at Publisher Save 10.1111/cdev.12247
Abstract
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.
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Citations
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References
Details
Published
Sep 01, 2014
Vol/Issue
85(5)
Pages
1821-1826
License
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Funding
NSF Award: 0642632
NIH Ruth Kirschstein NRSA training grant Award: T32 HD007475-17
NICHHD Award: RO1HD050199
Cite This Article
Aimee E Stahl, Alexa R Romberg, Sarah Roseberry, et al. (2014). Infants Segment Continuous Events Using Transitional Probabilities. Child Development, 85(5), 1821-1826. https://doi.org/10.1111/cdev.12247