Infants' ability to parse continuous actions

Further evidence

Susan J Hespos, Stacy R. Grossman, Megan M. Saylor

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

In two experiments, we examined 6- and 8-month-old infants' capacities to detect target actions in a continuous action sequence. The primary question was whether action segments consisting of an event (e.g., occlusion, containment) are more salient than action segments consisting of a transition (e.g., bounce, slide). In Experiment 1, infants were habituated to long action sequences. After meeting the habituation criterion, infants were shown an alternation between test trials consisting of either novel or familiar segments made up of an event and transition. The results demonstrate that infants dishabituated to the novel test segments. In Experiment 2, infants were habituated to the same long action sequences but the novelty/familiarity of the events and transitions were crossed with each other. The results demonstrate that infants looked longer at test trials with novel events compared to test trials with novel transitions. These experiments replicated and extended the phenomena reported in Hespos, Saylor, and Grossman (2009). Together these findings demonstrated that in event processing, events having greater relative salience than transitions. These findings suggest that object knowledge could provide insights to the process of event segmentation.

Original languageEnglish (US)
Pages (from-to)1026-1032
Number of pages7
JournalNeural Networks
Volume23
Issue number8-9
DOIs
StatePublished - Oct 1 2010

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Keywords

  • Cognition
  • Events
  • Infants

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence

Cite this

Hespos, Susan J ; Grossman, Stacy R. ; Saylor, Megan M. / Infants' ability to parse continuous actions : Further evidence. In: Neural Networks. 2010 ; Vol. 23, No. 8-9. pp. 1026-1032.
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Infants' ability to parse continuous actions : Further evidence. / Hespos, Susan J; Grossman, Stacy R.; Saylor, Megan M.

In: Neural Networks, Vol. 23, No. 8-9, 01.10.2010, p. 1026-1032.

Research output: Contribution to journalArticle

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