Infants Segment Continuous Events Using Transitional Probabilities.
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| Title: | Infants Segment Continuous Events Using Transitional Probabilities. |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 98255662 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Infants Segment Continuous Events Using Transitional Probabilities. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Stahl%2C+Aimee+E%2E%22">Stahl, Aimee E.</searchLink><br /><searchLink fieldCode="AR" term="%22Romberg%2C+Alexa+R%2E%22">Romberg, Alexa R.</searchLink><br /><searchLink fieldCode="AR" term="%22Roseberry%2C+Sarah%22">Roseberry, Sarah</searchLink><br /><searchLink fieldCode="AR" term="%22Golinkoff%2C+Roberta+Michnick%22">Golinkoff, Roberta Michnick</searchLink><br /><searchLink fieldCode="AR" term="%22Hirsh‐Pasek%2C+Kathryn%22">Hirsh‐Pasek, Kathryn</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Child+Development%22">Child Development</searchLink>. Sep/Oct2014, Vol. 85 Issue 5, p1821-1826. 6p. 1 Diagram, 2 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Infant+psychology%22">Infant psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Human+information+processing+in+children%22">Human information processing in children</searchLink><br /><searchLink fieldCode="DE" term="%22Perception+in+infants%22">Perception in infants</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+in+infants%22">Cognition in infants</searchLink><br /><searchLink fieldCode="DE" term="%22Prompts+%28Psychology%29%22">Prompts (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>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.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=98255662 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cdev.12247 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 1821 Subjects: – SubjectFull: Infant psychology Type: general – SubjectFull: Human information processing in children Type: general – SubjectFull: Perception in infants Type: general – SubjectFull: Cognition in infants Type: general – SubjectFull: Prompts (Psychology) Type: general – SubjectFull: Learning Type: general Titles: – TitleFull: Infants Segment Continuous Events Using Transitional Probabilities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Stahl, Aimee E. – PersonEntity: Name: NameFull: Romberg, Alexa R. – PersonEntity: Name: NameFull: Roseberry, Sarah – PersonEntity: Name: NameFull: Golinkoff, Roberta Michnick – PersonEntity: Name: NameFull: Hirsh‐Pasek, Kathryn IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep/Oct2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 00093920 Numbering: – Type: volume Value: 85 – Type: issue Value: 5 Titles: – TitleFull: Child Development Type: main |
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