Document Detail

Automatic letter priming in an alphabetic decision task.
MedLine Citation:
PMID:  2011452     Owner:  NLM     Status:  MEDLINE    
An alphabetic decision task was used to study effects of form priming on letter recognition at very short prime durations (20 to 80 msec). The task required subjects to decide whether a stimulus was a letter or a nonletter. Experiment 1 showed clear facilitatory effects of primes being either physically or nominally identical to the targets, with a stable advantage for the former. Experiment 2 demonstrated that uppercase letters are classified more rapidly as letters (vs. non-letters) when they are preceded by a briefly exposed, forward- and backward-masked, visually similar uppercase letter than when they are preceded by a visually dissimilar uppercase letter. Finally, Experiment 3 demonstrated that nominally identical and visually similar primes facilitate processing more than do nominally identical, visually dissimilar primes. The alphabetic decision task proved to produce sensitive and stable priming effects at the feature, letter, and response-choice level. The present results on letter-letter priming thus constitute a solid data base against which to evaluate other priming effects, such as word-letter priming. The results are discussed in light of current activation models of letter and word recognition and are compared with data simulated by the interactive activation model (McClelland & Rumelhart, 1981).
A M Jacobs; J Grainger
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Perception & psychophysics     Volume:  49     ISSN:  0031-5117     ISO Abbreviation:  Percept Psychophys     Publication Date:  1991 Jan 
Date Detail:
Created Date:  1991-05-08     Completed Date:  1991-05-08     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0200445     Medline TA:  Percept Psychophys     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  43-52     Citation Subset:  C    
Laboratoire de Psychologie Expérimentale, CNRS, Université René Descartes, Paris, France.
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MeSH Terms
Pattern Recognition, Visual*
Perceptual Masking

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

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