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Segmenting dynamic human action via statistical structure
University of Oregon, USA. (Acquiring Minds Lab)
University of Oregon, USA.ORCID iD: 0000-0001-6731-1522
University of Wisconsin-Madison, USA. (Infant Learning Lab)
University of Oregon, USA. (Psychology)
2008 (English)In: Cognition, ISSN 0010-0277, E-ISSN 1873-7838, Vol. 106, no 3, p. 1382-1407Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2008. Vol. 106, no 3, p. 1382-1407
Keywords [en]
Action processing, Action segmentation, Statistical learning
National Category
Psychology
Research subject
Social Sciences, Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-70880DOI: 10.1016/j.cognition.2007.07.005OAI: oai:DiVA.org:lnu-70880DiVA, id: diva2:1188720
Available from: 2018-03-08 Created: 2018-03-08 Last updated: 2018-03-09Bibliographically approved

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Andersson, Annika

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  • apa
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf