Using Movement and Intentions to Understand Human Activity

Autor/inn/en	Zacks, Jeffrey M.; Kumar, Shawn; Abrams, Richard A.; Mehta, Ritesh
Titel	Using Movement and Intentions to Understand Human Activity
Quelle	In: Cognition, 112 (2009) 2, S.201-216 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0277
DOI	10.1016/j.cognition.2009.03.007
Schlagwörter	Information Systems; Theories; Experiments; Intention; Motion; Prediction; Visual Perception; Experiential Learning; Schemata (Cognition) + Suchen Sie Ihr Suchwort? Theory; Theorie; Erprobung; Bewegungsablauf; Vorhersage; Visuelle Wahrnehmung; Experiental learning; Erfahrungsorientiertes Lernen; Cognition; Schema; Kognition
Abstract	During perception, people segment continuous activity into discrete events. They do so in part by monitoring changes in features of an ongoing activity. Characterizing these features is important for theories of event perception and may be helpful for designing information systems. The three experiments reported here asked whether the body movements of an actor predict when viewers will perceive event boundaries. Body movements were recorded using a magnetic motion tracking system and compared with viewers' segmentation of his activity into events. Changes in movement features were strongly associated with segmentation. This was more true for fine-grained than for coarse-grained boundaries, and was strengthened when the stimulus displays were reduced from live-action movies to simplified animations. These results suggest that movement variables play an important role in the process of segmenting activity into meaningful events, and that the influence of movement on segmentation depends on the availability of other information sources. (Contains 4 tables and 6 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10