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The Relation between Geometry and Time in Mental Actions

Overview of attention for article published in PLOS ONE, November 2012
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Title
The Relation between Geometry and Time in Mental Actions
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0051191
Pubmed ID
Authors

Charalambos Papaxanthis, Christos Paizis, Olivier White, Thierry Pozzo, Natale Stucchi

Abstract

Mental imagery is a cognitive tool that helps humans take decisions by simulating past and future events. The hypothesis has been advanced that there is a functional equivalence between actual and mental movements. Yet, we do not know whether there are any limitations to its validity even in terms of some fundamental features of actual movements, such as the relationship between space and time. Although it is impossible to directly measure the spatiotemporal features of mental actions, an indirect investigation can be conducted by taking advantage of the constraints existing in planar drawing movements and described by the two-thirds power law (2/3PL). This kinematic law describes one of the most impressive regularities observed in biological movements: movement speed decreases when curvature increases. Here, we compared the duration of identical actual and mental arm movements by changing the constraints imposed by the 2/3PL. In the first two experiments, the length of the trajectory remained constant, while its curvature (Experiment 1) or its number of inflexions (Experiment 2) was manipulated. The results showed that curvature, but not the number of inflexions, proportionally and similarly affected actual and mental movement duration, as expected from the 2/3PL. Two other control experiments confirmed that the results of Experiment 1 were not attributable to eye movements (Experiment 3) or to the perceived length of the displayed trajectory (Experiment 4). Altogether, our findings suggest that mental movement simulation is tuned to the kinematic laws characterizing actions and that kinematics of actual and mental movements is completely specified by the representation of their geometry.

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Geographical breakdown

Country Count As %
Luxembourg 1 <1%
Unknown 101 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 31%
Student > Ph. D. Student 10 10%
Researcher 8 8%
Professor > Associate Professor 5 5%
Student > Bachelor 4 4%
Other 9 9%
Unknown 34 33%
Readers by discipline Count As %
Sports and Recreations 23 23%
Psychology 10 10%
Engineering 7 7%
Medicine and Dentistry 5 5%
Neuroscience 5 5%
Other 11 11%
Unknown 41 40%