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Visual statistical learning (VSL) shapes social categorization. Closer individuals in visual arrays are perceived as in-group, while distant ones are out-group, influencing early social judgments.

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Area of Science:

  • Cognitive Psychology
  • Social Neuroscience
  • Perception

Background:

  • Social categorization is fundamental to human interaction.
  • Visual statistical learning (VSL) plays a role in perceiving environmental regularities.
  • The influence of spatial proximity on in-group/out-group formation is not fully understood.

Purpose of the Study:

  • To investigate how visual statistical learning (VSL) influences spatial proximity perception.
  • To determine if spatial proximity, as learned through VSL, initiates in-group/out-group categorization.
  • To explore the role of VSL in early-stage social categorization within virtual environments.

Main Methods:

  • Two experiments were conducted using visual arrays.
  • Participants made in-group/out-group selections based on spatial associations.
  • Experiment 2 utilized both facial images and initials as visual stimuli.

Main Results:

  • Individuals positioned closer in visual arrays were more frequently categorized as in-group members.
  • Individuals farther away were more often assigned to the out-group.
  • VSL-driven recognition of spatial regularities influenced social categorization decisions.

Conclusions:

  • Spatial proximity, modulated by VSL, is a key factor in initiating social categorization.
  • VSL shapes perceptions of spatial relationships, directly impacting in-group/out-group judgments.
  • These findings highlight the critical role of VSL in early social cognition and group formation.