Document Detail


Visual orienting in dynamic broadband (1/f) noise sequences.
MedLine Citation:
PMID:  20045883     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Visual orienting has typically been characterized using simple displays--for example, displays with a static target placed on a homogeneous background. In the present study, visual orienting was investigated using a dynamic broadband (1/f) noise display that should mimic a more naturalistic setting and that should allow saccadic orienting experiments to be performed with fewer constraints. In Experiment 1, it was shown that the noise movie contains gaze-attracting features that are almost as distinct as the ones measured for (static) real-word scenes. The movie can therefore serve as a strong distractor. In Experiment 2, observers carried out a luminance target search that showed that saccadic amplitude errors were substantially higher (18%) than the ones measured in simple displays. That error is certainly one of the primary factors making gaze-fixation prediction in complex scenes difficult. Supplemental figures for this study may be downloaded from http://app.psychonomic-journals.org/content/supplemental.
Authors:
Christoph Rasche; Karl R Gegenfurtner
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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 Jan 
Date Detail:
Created Date:  2010-01-04     Completed Date:  2010-03-10     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:  100-13     Citation Subset:  IM    
Affiliation:
Justus-Liebig-Universität, Giessen, Germany. rasche15@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Adult
Female
Fixation, Ocular
Humans
Male
Noise*
Reaction Time
Visual Perception*
Young Adult

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


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