The statistical regularities of a sequence of visual shapes can be learned incidentally. Arciuli et al. (2014) recently argued that intentional instructions only improve learning at slow presentation rates as they favor the use of explicit strategies. The aim of the present study was (1) to test this assumption directly by investigating how instructions (incidental vs. intentional) and presentation rate (fast vs. slow) affect the acquisition of knowledge and (2) to examine how these factors influence the conscious vs. unconscious nature of the knowledge acquired. To this aim, we exposed participants to four triplets of shapes, presented sequentially in a pseudo-random order, and assessed their degree of learning in a subsequent completion t...
From a theoretical perspective, most discussions of statistical learning (SL) have focused on the po...
Publisher's PDFHumans are capable of detecting and exploiting a variety of environmental regularitie...
While statistical learning has long been described as a learning mechanism that operates automatical...
Statistical learning (SL) studies have shown that participants are able to extract regularities in i...
We examined whether visual statistical learning (VSL) produced implicit and/or explicit knowledge ab...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
What determines individuals’ efficacy in detecting regularities in visual statistical learning? Our ...
In order to extract the regularities underlying a continuous sensory input, the individual elements ...
First published: 09 December 2019In order to extract the regularities underlying a continuous sensor...
The Serial Reaction Time Task (SRTT) is an important paradigm to study the properties of unconscious...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
Perceptual learning (PL) and statistical learning (SL) both seek to explain how humans learn through...
From a theoretical perspective, most discussions of statistical learning (SL) have focused on the po...
Publisher's PDFHumans are capable of detecting and exploiting a variety of environmental regularitie...
While statistical learning has long been described as a learning mechanism that operates automatical...
Statistical learning (SL) studies have shown that participants are able to extract regularities in i...
We examined whether visual statistical learning (VSL) produced implicit and/or explicit knowledge ab...
Statistical learning refers to the ability to extract regularities in our rich, dynamic, and complex...
What determines individuals’ efficacy in detecting regularities in visual statistical learning? Our ...
In order to extract the regularities underlying a continuous sensory input, the individual elements ...
First published: 09 December 2019In order to extract the regularities underlying a continuous sensor...
The Serial Reaction Time Task (SRTT) is an important paradigm to study the properties of unconscious...
While the visual environment contains massive amounts of information, we should not and cannot pay a...
ABSTRACT—Statistical learning has been widely proposed as a mechanism by which observers learn to de...
Visual attention seems essential for learning the statistical regularities in our environment, a pro...
ABSTRACT—Recent work has shown that observers can parse streams of syllables, tones, or visual shape...
Perceptual learning (PL) and statistical learning (SL) both seek to explain how humans learn through...
From a theoretical perspective, most discussions of statistical learning (SL) have focused on the po...
Publisher's PDFHumans are capable of detecting and exploiting a variety of environmental regularitie...
While statistical learning has long been described as a learning mechanism that operates automatical...