Literature DB >> 27844342

Statistical regularities guide the spatial scale of attention.

Jiaying Zhao1,2, Yu Luo3.   

Abstract

Visual scenes contain information on both a local scale (e.g., a tree) and a global scale (e.g., a forest). The question of whether the visual system prioritizes local or global elements has been debated for over a century. Given that visual scenes often contain distinct individual objects, here we examine how regularities between individual objects prioritize local or global processing. Participants viewed Navon-like figures consisting of small local objects making up a global object, and were asked to identify either the shape of the local objects or the shape of the global object, as fast and accurately as possible. Unbeknown to the participants, local regularities (i.e., triplets) or global regularities (i.e., quadruples) were embedded among the objects. We found that the identification of the local shape was faster when individual objects reliably co-occurred immediately next to each other as triplets (local regularities, Experiment 1). This result suggested that local regularities draw attention to the local scale. Moreover, the identification of the global shape was faster when objects co-occurred at the global scale as quadruples (global regularities, Experiment 2). This result suggested that global regularities draw attention to the global scale. No participant was explicitly aware of the regularities in the experiments. The results suggest that statistical regularities can determine whether attention is directed to the individual objects or to the entire scene. The findings provide evidence that regularities guide the spatial scale of attention in the absence of explicit awareness.

Entities:  

Keywords:  Attentional control; Local and global processing; Spatial attention; Statistical learning; Visual search

Mesh:

Year:  2017        PMID: 27844342     DOI: 10.3758/s13414-016-1233-1

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  2 in total

1.  The prevalence and importance of statistical learning in human cognition and behavior.

Authors:  Brynn E Sherman; Kathryn N Graves; Nicholas B Turk-Browne
Journal:  Curr Opin Behav Sci       Date:  2020-02-29

Review 2.  Prior Knowledge of Object Associations Shapes Attentional Templates and Information Acquisition.

Authors:  Rachel Wu; Jiaying Zhao
Journal:  Front Psychol       Date:  2017-05-23
  2 in total

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