What to expect where and when: How statistical learning drives visual selection

J Theeuwes, L Bogaerts, D van Moorselaar - Trends in cognitive sciences, 2022 - cell.com
While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …

Attentional capture and control

J Theeuwes - Annual Review of Psychology, 2024 - annualreviews.org
The current review presents an integrated tripartite framework for understanding attentional
control, emphasizing the interaction and competition among top-down, bottom-up, and …

[HTML][HTML] Statistical learning in the absence of explicit top-down attention

D Duncan, J Theeuwes - Cortex, 2020 - Elsevier
Recently it has been shown that statistical learning of regularities presented in a display can
bias attentional selection, such that attentional capture by salient objects is reduced by …

Statistical learning of distractor locations is dependent on task context

J De Waard, D Van Moorselaar, L Bogaerts… - Scientific Reports, 2023 - nature.com
Through statistical learning, humans can learn to suppress visual areas that often contain
distractors. Recent findings suggest that this form of learned suppression is insensitive to …

Reliability of individual differences in distractor suppression driven by statistical learning

Y Ivanov, J Theeuwes, L Bogaerts - Behavior Research Methods, 2024 - Springer
A series of recent studies has demonstrated that attentional selection is modulated by
statistical regularities, even when they concern task-irrelevant stimuli. Irrelevant distractors …

[图书][B] Attentional selection: Top-down, bottom-up and history-based biases

J Theeuwes, M Failing - 2020 - cambridge.org
In this Element, a framework is proposed in which it is assumed that visual selection is the
result of the interaction between top-down, bottom-up and selection-history factors. The …

Distractor filtering is affected by local and global distractor probability, emerges very rapidly but is resistant to extinction

M Valsecchi, M Turatto - Attention, Perception, & Psychophysics, 2021 - Springer
Abstract Effects of statistical learning (SL) of distractor location have been shown to persist
when the probabilities of distractor occurrence are equalized across different locations in a …

Spatial suppression due to statistical learning tracks the estimated spatial probability

R Lin, X Li, B Wang, J Theeuwes - Attention, Perception, & Psychophysics, 2021 - Springer
People are sensitive to regularities in the environment. Recent studies employing the
additional singleton paradigm showed that a singleton distractor that appeared more often in …

Does it help to expect distraction? Attentional capture is attenuated by high distractor frequency but not by trial-to-trial predictability.

L Bogaerts, D van Moorselaar… - Journal of experimental …, 2022 - psycnet.apa.org
Salient distractors such as color singletons typically capture attention. Recent studies have
shown that probabilistic expectations of color singletons' occurrence—even when their …

[HTML][HTML] Statistical learning of across-trial regularities during serial search.

AS Li, L Bogaerts, J Theeuwes - Journal of Experimental …, 2022 - psycnet.apa.org
Previous studies have shown that attention becomes biased toward those locations that
frequently contain a target and is biased away from locations that have a high probability to …