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Journal of Vision
Article . 2007 . Peer-reviewed
Data sources: Crossref
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Journal of Vision
Article
License: CC BY NC ND
Data sources: UnpayWall
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Detection of biological and nonbiological motion

Authors: Eric, Hiris;

Detection of biological and nonbiological motion

Abstract

Often it is claimed that humans are particularly sensitive to biological motion. Here, sensitivity as a detection advantage for biological over nonbiological motion is examined. Previous studies comparing biological motion to nonbiological motion have not used appropriate masks or have not taken into account the underlying form present in biological motion. The studies reported here compare the detection of biological motion to nonbiological motion with and without form. Target animation sequences represented a walking human, an unstructured translation and rotation, and a structured translation and rotation. Both the number of mask dots and the size of the target varied across trials. The results show that biological motion is easier to detect than unstructured nonbiological motion but is not easier to detect than structured nonbiological motion. The results cannot be explained by learning over the course of data collection. Additional analyses show that mask density explains masking of different size target areas and is not specific to detection tasks. These data show that humans are not better at detecting biological motion compared to nonbiological motion in a mask. Any differences in detection performance between biological motion and nonbiological motion may be in part because biological motion always contains an underlying form.

Related Organizations
Keywords

Analysis of Variance, Rotation, Motion Perception, Walking, Form Perception, Task Performance and Analysis, Humans, Learning, Artifacts, Perceptual Masking, Photic Stimulation

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 10%
Top 10%
Top 10%
gold