Smaller = Denser, and the Brain Knows It: Natural Statistics of Object Density Shape Weight Expectations
Identifieur interne : 000273 ( Pmc/Corpus ); précédent : 000272; suivant : 000274Smaller = Denser, and the Brain Knows It: Natural Statistics of Object Density Shape Weight Expectations
Auteurs : Megan A. K. Peters ; Jonathan Balzer ; Ladan ShamsSource :
- PLoS ONE [ 1932-6203 ] ; 2015.
Abstract
If one nondescript object’s volume is twice that of another, is it necessarily twice as heavy? As larger objects are typically heavier than smaller ones, one might assume humans use such heuristics in preparing to lift novel objects if other informative cues (e.g., material, previous lifts) are unavailable. However, it is also known that humans are sensitive to statistical properties of our environments, and that such sensitivity can bias perception. Here we asked whether statistical regularities in properties of liftable, everyday objects would bias human observers’ predictions about objects’ weight relationships. We developed state-of-the-art computer vision techniques to precisely measure the volume of everyday objects, and also measured their weight. We discovered that for liftable man-made objects, “twice as large” doesn’t mean “twice as heavy”: Smaller objects are typically denser, following a power function of volume. Interestingly, this “smaller is denser” relationship does not hold for natural or unliftable objects, suggesting some ideal density range for objects designed to be lifted. We then asked human observers to predict weight relationships between novel objects without lifting them; crucially, these weight predictions
Url:
DOI: 10.1371/journal.pone.0119794
PubMed: 25768977
PubMed Central: 4358826
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