Segmenting Dynamic Human Action via Statistical Structure

Autor/inn/en	Baldwin, Dare; Andersson, Annika; Saffran, Jenny; Meyer, Meredith
Titel	Segmenting Dynamic Human Action via Statistical Structure
Quelle	In: Cognition, 106 (2008) 3, S.1382-1407 (26 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0277
DOI	10.1016/j.cognition.2007.07.005
Schlagwörter	Language Acquisition; Language Processing; Statistical Analysis; Classification + Suchen Sie Ihr Suchwort? Sprachaneignung; Spracherwerb; Sprachverarbeitung; Statistische Analyse; Classification system; Klassifikation; Klassifikationssystem
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. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10