Segmenting dynamic human action via statistical structure

Dare Baldwin, Annika Andersson, Jenny Saffran, Meredith Meyer

Research output: Contribution to journalArticlepeer-review

Abstract

Human social, cognitive, and linguistic functioning depends on skills for rapidly processing action. Identifying distinct acts within the dynamic motion flow is one basic component of action processing; for example, skill at segmenting action is foundational to action categorization, verb learning, and comprehension of novel action sequences. Yet little is currently known about mechanisms that may subserve action segmentation. The present research documents that adults can register statistical regularities providing clues to action segmentation. This finding provides new evidence that structural knowledge gained by mechanisms such as statistical learning can play a role in action segmentation, and highlights a striking parallel between processing of action and processing in other domains, such as language. (PsycINFO Database Record (c) 2008 APA, all rights reserved) (journal abstract).
Original languageEnglish
Pages (from-to)1382-1407
JournalCognition
Volume106
Issue number3
DOIs
Publication statusPublished - 2008
Externally publishedYes

Bibliographical note

3

Subject classification (UKÄ)

  • Comparative Language Studies and Linguistics

Free keywords

  • Cognitive Processes
  • Adult Attitudes
  • Statistical Correlation
  • Group Dynamics
  • Knowledge Level
  • Human
  • Male
  • Female
  • Adulthood (18 yrs & older)

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