Evaluating automatic attentional capture by self-relevant information

Ocampo, Brenda and Kahan, Todd A. (2015) Evaluating automatic attentional capture by self-relevant information. Cognitive Neuroscience, 1-2. doi:10.1080/17588928.2015.1075486

Author Ocampo, Brenda
Kahan, Todd A.
Title Evaluating automatic attentional capture by self-relevant information
Journal name Cognitive Neuroscience   Check publisher's open access policy
ISSN 1758-8936
Publication date 2015-08-13
Sub-type Article (original research)
DOI 10.1080/17588928.2015.1075486
Open Access Status Not Open Access
Start page 1
End page 2
Total pages 2
Place of publication Oxon, United Kingdom
Publisher Routledge
Collection year 2016
Language eng
Abstract Our everyday decisions and memories are inadvertently influenced by self-relevant information. For example, we are faster and more accurate at making perceptual judgments about stimuli associated with ourselves, such as our own face or name, as compared with familiar non-self-relevant stimuli. Humphreys and Sui propose a “self-attention network” to account for these effects, wherein self-relevant stimuli automatically capture our attention and subsequently enhance the perceptual processing of self-relevant information. We propose that the masked priming paradigm and continuous flash suppression represent two ways to experimentally examine these controversial claims.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
School of Psychology Publications
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