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Action simulation: Time course and representational mechanisms

MPG-Autoren
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Springer,  Anne
Department Psychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Sport and Exercise Psychology, University of Potsdam;

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Prinz,  Wolfgang
Department Psychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Zitation

Springer, A., Parkinson, J., & Prinz, W. (2013). Action simulation: Time course and representational mechanisms. Frontiers in Psychology, 4: 387. doi:10.3389/fpsyg.2013.00387.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0014-5216-A
Zusammenfassung
The notion of action simulation refers to the ability to re-enact foreign actions (i.e., actions observed in other individuals). Simulating others' actions implies a mirroring of their activities, based on one's own sensorimotor competencies. Here, we discuss theoretical and experimental approaches to action simulation and the study of its representational underpinnings. One focus of our discussion is on the timing of internal simulation and its relation to the timing of external action, and a paradigm that requires participants to predict the future course of actions that are temporarily occluded from view. We address transitions between perceptual mechanisms (referring to action representation before and after occlusion) and simulation mechanisms (referring to action representation during occlusion). Findings suggest that action simulation runs in real-time; acting on newly created action representations rather than relying on continuous visual extrapolations. A further focus of our discussion pertains to the functional characteristics of the mechanisms involved in predicting other people's actions. We propose that two processes are engaged, dynamic updating and static matching, which may draw on both semantic and motor information. In a concluding section, we discuss these findings in the context of broader theoretical issues related to action and event representation, arguing that a detailed functional analysis of action simulation in cognitive, neural, and computational terms may help to further advance our understanding of action cognition and motor control.