Dr Meike Scheller meike.scheller@durham.ac.uk
Assistant Professor
Self-association enhances early attentional selection through automatic prioritization of socially salient signals
Scheller, Meike; Tünnermann, Jan; Fredriksson, Katja; Fang, Huilin; Sui, Jie
Authors
Jan Tünnermann
Katja Fredriksson
Huilin Fang
Jie Sui
Abstract
Efficiently processing self-related information is critical for cognition, yet the earliest mechanisms enabling this self-prioritization remain unclear. By combining a temporal order judgement task with computational modelling based on the Theory of Visual Attention (TVA), we show how mere, arbitrary associations with the self can fundamentally alter attentional selection of sensory information into short-term memory/awareness, by enhancing the attentional weights and processing capacity devoted to encoding socially loaded information. This self-prioritization in attentional selection occurs automatically at early perceptual stages but reduces when active social decoding is required. Importantly, the processing benefits obtained from attentional selection via self-relatedness and via physical salience were additive, suggesting that social and perceptual salience captured attention via separate mechanisms. Furthermore, intra-individual correlations revealed an ’obligatory’ self-prioritization effect, whereby self-relatedness overpowered the contribution of perceptual salience in guiding attentional selection. Together, our findings provide evidence for the influence of self-relatedness during earlier, automatic stages of attentional section at the gateway to perception, distinct from later post-attentive processing stages.
Citation
Scheller, M., Tünnermann, J., Fredriksson, K., Fang, H., & Sui, J. (2024). Self-association enhances early attentional selection through automatic prioritization of socially salient signals
Working Paper Type | Preprint |
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Online Publication Date | Oct 14, 2024 |
Publication Date | Oct 14, 2024 |
Deposit Date | Sep 24, 2024 |
Publicly Available Date | Nov 7, 2024 |
DOI | https://doi.org/10.7554/eLife.100932.1 |
Public URL | https://durham-repository.worktribe.com/output/2876344 |
Files
Published Preprint
(3.4 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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