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Attenuating the 'attentional white bear' effect enhances suppressive attention.
Alex Muhl-Richardson1,2, Maria Tortosa-Molina1, Sergio A Recio1
1Department of Psychology, University of Cambridge, Downing Street, Cambridge, CB2 3EB, UK.
Attention, Perception & Psychophysics
|September 22, 2022
Summary
Trying to ignore stimuli, known as the attentional white bear (AWB) effect, is caused by failed proactive suppression. This means attempting to suppress irrelevant information from the start inadvertently draws attention to it.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Attention
Background:
- The attentional white bear (AWB) effect describes how trying to ignore an object can paradoxically increase attention towards it.
- The underlying neural and cognitive mechanisms of the AWB effect are not fully understood.
- Two proposed mechanisms include reactive 'search and destroy' suppression and failed proactive suppression.
Purpose of the Study:
- To investigate the mechanisms responsible for the attentional white bear (AWB) effect.
- To differentiate between reactive and proactive distractor suppression as causes of the AWB effect.
- To address limitations of previous studies on the AWB effect.
Main Methods:
- Developed a novel categorical visual search task using naturalistic stimuli.
- Conducted five experiments with a total of 96 participants.
- Participants searched displays where only distractor categories were cued, with unknown targets.
Main Results:
- Confirmed the occurrence of the attentional white bear (AWB) effect in the visual search task.
- Attenuated the AWB effect by introducing a pre-search stimulus.
- The pre-search stimulus likely disrupted distractor templates held in working memory.
Conclusions:
- The attentional white bear (AWB) effect arises from a failure in proactive distractor suppression.
- The findings do not support a 'search and destroy' reactive suppression mechanism for the AWB effect.
- Proactive suppression failure leads to an attentional bias towards ignored items.

