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Hidden from view: Statistical learning exposes latent attentional capture.

Matthew D Hilchey1, Jay Pratt2

  • 1Department of Psychology, University of Toronto, Toronto, Ontario, Canada. Matthew.hilchey@utoronto.ca.

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Statistical learning can reveal latent attentional capture by abrupt-onset cues, even when they do not match the search target. This demonstrates that attentional control is not absolute.

Keywords:
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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Attention

Background:

  • Salient visual stimuli typically capture attention only if they match search targets in contingent-capture paradigms.
  • Previous research suggests abrupt-onset cues might capture attention in difficult displays, hinting at latent capture.

Purpose of the Study:

  • To investigate if statistical learning can expose latent attentional capture by non-matching cues.
  • To differentiate the capture effects of color singleton and abrupt-onset singleton cues.

Main Methods:

  • Used a four-location contingent-capture paradigm with easy search displays.
  • Cues either matched or mismatched the target's color.
  • Manipulated cue-target contingencies: mismatch cues predicted target location (81.5%), match cues did not (25%).
  • Experiment 1 used color singleton cues; Experiment 2 used abrupt-onset singleton cues.

Main Results:

  • Match cues reliably captured attention throughout.
  • Mismatch color cues never captured attention.
  • Mismatch abrupt-onset cues captured attention after statistical learning (post-first block).
  • This dissociation highlights latent capture by abrupt-onset cues.

Conclusions:

  • Attentional control sets do not completely filter out all information.
  • Statistical learning can reveal latent attentional capture without undermining top-down control.
  • Abrupt-onset cues exhibit latent capture effects modulated by statistical learning.