scholarly journals Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries

2010 ◽  
Vol 3 (1) ◽  
pp. 185-205 ◽  
Author(s):  
Dietmar Heinke ◽  
Andreas Backhaus
Keyword(s):  
Visual Search ◽  
Selective Attention ◽  
Identification Model

Modelling visual search experiments: the selective attention for identification model (SAIM)

2002 ◽  
Vol 44-46 ◽  
pp. 817-822 ◽  
Author(s):  
Dietmar Heinke ◽  
Glyn W Humphreys ◽  
Giovanni di Virgilio
Keyword(s):  
Visual Search ◽  
Selective Attention ◽  
Identification Model

Selective attention modulates implicit learning

2001 ◽  
Vol 54 (4) ◽  
pp. 1105-1124 ◽  
Author(s):  
Yuhong Jiang ◽  
Marvin M. Chun
Keyword(s):  
Visual Search ◽  
Selective Attention ◽  
Implicit Learning ◽  
Target Location ◽  
Spatial Configuration ◽  
Contextual Cueing ◽  
Predictive Information

The effect of selective attention on implicit learning was tested in four experiments using the “contextual cueing” paradigm (Chun & Jiang, 1998, 1999). Observers performed visual search through items presented in an attended colour (e.g., red) and an ignored colour (e.g., green). When the spatial configuration of items in the attended colour was invariant and was consistently paired with a target location, visual search was facilitated, showing contextual cueing (Experiments 1, 3, and 4). In contrast, repeating and pairing the configuration of the ignored items with the target location resulted in no contextual cueing (Experiments 2 and 4). We conclude that implicit learning is robust only when relevant, predictive information is selectively attended.

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