Time-course contingencies in perceptual organization and identification of fragmented object outlines.
Author(s) -
Sven Panis,
Johan Wagemans
Publication year - 2009
Publication title -
journal of experimental psychology human perception and performance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.691
H-Index - 148
eISSN - 1939-1277
pISSN - 0096-1523
DOI - 10.1037/a0013547
Subject(s) - collinearity , identification (biology) , perception , object (grammar) , artificial intelligence , computer science , cognitive neuroscience of visual object recognition , pattern recognition (psychology) , categorization , gestalt psychology , matching (statistics) , cognitive psychology , psychology , cognitive science , mathematics , geometry , biology , statistics , botany , neuroscience
To study the dynamic interplay between different component processes involved in the identification of fragmented object outlines, the authors used a discrete-identification paradigm in which the masked presentation duration of fragmented object outlines was repeatedly increased until correct naming occurred. Survival analysis was used to investigate whether and when different types of information-such as contour integration cues (proximity, collinearity, and fragment density), fragment properties (low vs. high curvature), stimulus complexity (global symmetry, number and saliency of the parts), and memory factors (natural vs. artifactual)-influenced the timing of identification. The results show that the importance of these different types of information can change over the time course of object identification, indicating so-called time-course contingencies. Most important, the straight segments of a contour played a larger role for complex outlines with high part saliency during early (bottom-up) grouping processes, whereas the curved segments of object outlines were more important during later (top-down) matching processes for simpler outlines with lower part saliency. This new insight can explain why different studies on shape-based object identification have produced seemingly contradictory results.
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