2014/04/19 by Aimee E Stahl, Aimee E. Stahl, Alexa R. Romberg +5 · 105 citations
Health Professions · Mathematics · Psychology · #Artificial intelligence #Child and Animal Learning Development #Cognitive psychology #Communication #Computer science #Developmental psychology #Event (particle physics) #Infant Health and Development #Language Development and Disorders #Mathematics #Psychology #Segmentation #Sequence (biology) #Sequence learning #Statistical analysis #Statistical hypothesis testing #Statistical learning #Statistics
paper · open access · doi:10.1111/cdev.12247
published in Child Development 85(5), 1821-1826 (Wiley)
openalex publication_date 2014/04/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
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.