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.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 98255662
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1