Document Detail


The time course of configural change detection for novel 3-D objects.
MedLine Citation:
PMID:  20436196     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The present study investigated the time course of visual information processing that is responsible for successful object change detection involving the configuration and shape of 3-D novel object parts. Using a one-shot change detection task, we manipulated stimulus and interstimulus mask durations (40-500 msec). Experiments 1A and 1B showed no change detection advantage for configuration at very short (40-msec) stimulus durations, but the configural advantage did emerge with durations between 80 and 160 msec. In Experiment 2, we showed that, at shorter stimulus durations, the number of parts changing was the best predictor of change detection performance. Finally, in Experiment 3, with a stimulus duration of 160 msec, configuration change detection was found to be highly accurate for each of the mask durations tested, suggesting a fast processing speed for this kind of change information. However, switch and shape change detection reached peak levels of accuracy only when mask durations were increased to 160 and 320 msec, respectively. We conclude that, with very short stimulus exposures, successful object change detection depends primarily on quantitative measures of change. However, with longer stimulus exposures, the qualitative nature of the change becomes progressively more important, resulting in the well-known configural advantage for change detection.
Authors:
Simone Favelle; Stephen Palmisano
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Attention, perception & psychophysics     Volume:  72     ISSN:  1943-393X     ISO Abbreviation:  Atten Percept Psychophys     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-05-03     Completed Date:  2010-08-05     Revised Date:  2011-02-24    
Medline Journal Info:
Nlm Unique ID:  101495384     Medline TA:  Atten Percept Psychophys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  999-1012     Citation Subset:  IM    
Affiliation:
University of Wollongong, Wollongong, New South Wales, Australia. simone_favelle@uow.edu.au
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MeSH Terms
Descriptor/Qualifier:
Depth Perception*
Form Perception
Humans
Memory, Short-Term
Pattern Recognition, Visual*
Perceptual Masking*
Photic Stimulation
Reaction Time*
Recognition (Psychology)*
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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