Literature DB >> 36045310

Learned distractor rejection persists across target search in a different dimension.

Brad T Stilwell1,2, Shaun P Vecera3.   

Abstract

Attention is guided by several factors, including task-relevant target features, which attract attention, but also statistical regularities associated distractors, which repel attention away from themselves. However, whether feature-based distractor regularities (e.g., color) are extracted automatically from a feature dimension orthogonal to the target-guiding dimension (e.g., shape) remains to be tested. In two experiments, we tested if learned distractor rejection by color operated when color was not part of the attentional control settings, specifically, while attention was guided by a shape-based target template. Participants performed a visual search task for a task-relevant shape in displays containing two unsegregated colors. These displays allowed us to manipulate target guidance (based on shape) independently from distractor-based regularities (based on color). In both experiments we found clear evidence for learned distractor rejection: faster mean response times to locate the target when a consistent distractor color was present than when it was absent. Critically, these task-irrelevant learned distractor rejection effects were robust despite strong target guidance by an orthogonal search dimension. These findings corroborate recent demonstrations of learned distractor rejection during strong target guidance, indicating that learned distractor rejection and target guidance can operate on separate feature dimensions.
© 2022. The Psychonomic Society, Inc.

Entities:  

Keywords:  Learned distractor rejection; Target guidance; Visual attention; Visual search

Year:  2022        PMID: 36045310     DOI: 10.3758/s13414-022-02559-3

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.157


  50 in total

1.  The architecture of interaction between visual working memory and visual attention.

Authors:  Brett Bahle; Valerie M Beck; Andrew Hollingworth
Journal:  J Exp Psychol Hum Percept Perform       Date:  2018-04-09       Impact factor: 3.332

2.  Contextual cueing: implicit learning and memory of visual context guides spatial attention.

Authors:  M M Chun; Y Jiang
Journal:  Cogn Psychol       Date:  1998-06       Impact factor: 3.468

3.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

4.  Context-dependent control over attentional capture.

Authors:  Joshua D Cosman; Shaun P Vecera
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-10-01       Impact factor: 3.332

5.  Enhancement and Suppression Flexibly Guide Attention.

Authors:  Seah Chang; Howard E Egeth
Journal:  Psychol Sci       Date:  2019-11-06

6.  Attentional templates in visual working memory.

Authors:  Nancy B Carlisle; Jason T Arita; Deborah Pardo; Geoffrey F Woodman
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

7.  Simultaneous control of attention by multiple working memory representations.

Authors:  Valerie M Beck; Andrew Hollingworth; Steven J Luck
Journal:  Psychol Sci       Date:  2012-07-03

8.  Classic Visual Search Effects in an Additional Singleton Task: An Open Dataset.

Authors:  Kirsten C S Adam; Titiksha Patel; Nicole Rangan; John T Serences
Journal:  J Cogn       Date:  2021-07-28

9.  Establishment of an attentional set via statistical learning.

Authors:  Joshua D Cosman; Shaun P Vecera
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-10-07       Impact factor: 3.332

10.  The architecture of working memory: Features from multiple remembered objects produce parallel, coactive guidance of attention in visual search.

Authors:  Brett Bahle; Daniel D Thayer; J Toby Mordkoff; Andrew Hollingworth
Journal:  J Exp Psychol Gen       Date:  2019-10-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.