scholarly journals Visual statistical learning is not reliably modulated by selective attention to isolated events

2014 ◽  
Vol 77 (1) ◽  
pp. 78-96 ◽  
Author(s):  
Elizabeth Musz ◽  
Matthew J. Weber ◽  
Sharon L. Thompson-Schill
Keyword(s):  
Selective Attention ◽  
Statistical Learning ◽  
Visual Statistical Learning

scholarly journals Learning to suppress a distractor may not be unconscious

2021 ◽  
Author(s):  
Francisco Vicente-Conesa ◽  
Tamara Giménez-Fernández ◽  
David Luque ◽  
Miguel A. Vadillo
Keyword(s):  
Selective Attention ◽  
Statistical Learning ◽  
Explicit Knowledge ◽  
Search Display ◽  
Visual Statistical Learning ◽  
Singleton Distractor ◽  
Alternative Measures

The additional singleton task has become a popular paradigm to explore visual statistical learning and selective attention. In this task, participants are instructed to find a different-shaped target among a series of distractors as fast as possible. In some trials, the search display includes a singleton distractor with a different colour, making search harder. This singleton distractor appears more often in one location than in all the remaining locations. The typical results of these experiments show that participants learn to ignore the area of the screen that is more likely to contain the singleton distractor. It is often claimed that this learning takes place unconsciously, because at the end of the experiment participants seem to be unable to identify the location where the singleton distractor appeared most frequently during the task. In the present study, we tested participants’ awareness in three high-powered experiments using alternative measures. Contrary to previous studies, the results show clear evidence of explicit knowledge about which area of the display was more likely to contain the singleton distractor, suggesting that this type of learning might not be unconscious.

EXPRESS: Are animates special? Exploring the effects of selective attention and animacy on visual statistical learning

2022 ◽  
pp. 174702182210746
Author(s):  
Jolene Alexa Cox ◽  
Timothy Walter Cox ◽  
Anne Marie Aimola Davies
Keyword(s):  
Selective Attention ◽  
Visual System ◽  
Statistical Learning ◽  
Fruits And Vegetables ◽  
Rating Scale ◽  
Critical Role ◽  
Learning Task ◽  
Special Role ◽  
Visual Statistical Learning ◽  
Living Things

Our visual system is built to extract regularities in how objects within our visual environment appear in relation to each other across time and space (‘visual statistical learning’). Existing research indicates that visual statistical learning is modulated by selective attention. Our attentional system prioritises information that enables behaviour; for example, animates are prioritised over inanimates (the ‘animacy advantage’). The present study examined the effects of selective attention and animacy on visual statistical learning in young adults (N = 284). We tested visual statistical learning of attended and unattended information across four animacy conditions: (i) living things that can self-initiate movement (animals); (ii) living things that cannot self-initiate movement (fruits and vegetables); (iii) non-living things that can generate movement (vehicles); and (iv) non-living things that cannot generate movement (tools and kitchen utensils). We implemented a four-point confidence-rating scale as an assessment of participants’ awareness of the regularities in the visual statistical learning task. There were four key findings. First, selective attention plays a critical role by modulating visual statistical learning. Second, animacy does not play a special role in visual statistical learning. Third, visual statistical learning of attended information cannot be exclusively accounted for by unconscious knowledge. Fourth, performance on the visual statistical learning task is associated with the proportion of stimuli that were named or labelled. Our findings support the notion that visual statistical learning is a powerful mechanism by which our visual system resolves an abundance of sensory input over time.

Perceptual constraints on visual statistical learning of multielement scenes

2006 ◽  
Author(s):  
Christopher M. Conway ◽  
Robert L. Goldstone ◽  
Morten H. Christiansen
Keyword(s):  
Statistical Learning ◽  
Visual Statistical Learning

scholarly journals Visual statistical learning in children and young adults: how implicit?

2015 ◽  
Vol 5 ◽  
Author(s):  
Julie Bertels ◽  
Emeline Boursain ◽  
Arnaud Destrebecqz ◽  
Vinciane Gaillard
Keyword(s):  
Young Adults ◽  
Statistical Learning ◽  
Visual Statistical Learning ◽  
Children And Young Adults

scholarly journals Musicians’ Online Performance during Auditory and Visual Statistical Learning Tasks

2017 ◽  
Vol 11 ◽  
Author(s):  
Pragati R. Mandikal Vasuki ◽  
Mridula Sharma ◽  
Ronny K. Ibrahim ◽  
Joanne Arciuli
Keyword(s):  
Statistical Learning ◽  
Visual Statistical Learning ◽  
Learning Tasks
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