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Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
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Practice reduces set-specific capture costs only superficially.

Katherine Sledge Moore1, Elizabeth A Wiemers2

  • 1Department of Psychology, Arcadia University, 450 S. Easton Rd, Glenside, PA, 19038, USA. moorek@arcadia.edu.

Attention, Perception & Psychophysics
|December 20, 2017
PubMed
Summary
This summary is machine-generated.

Training can reduce set-specific attentional capture, where one visual search target hinders another. However, these training benefits are limited and do not generalize to new contexts, suggesting attentional capture is largely immutable.

Keywords:
Attentional captureDistractionMultitaskingPractice effectsRSVPSet-specific captureVisual search

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Area of Science:

  • Cognitive psychology
  • Visual attention research

Background:

  • Multiple attentional sets in visual search can lead to significant "set-specific" capture costs.
  • Set-specific capture occurs when a stimulus matching one search set impairs performance on a target matching another set.

Purpose of the Study:

  • To investigate if training can attenuate severe set-specific attentional capture effects.
  • To determine the generalizability of training-induced reductions in set-specific capture.

Main Methods:

  • Participants underwent training with varying frequencies of set switches between distractor and target stimuli.
  • Set-specific capture was measured before and after training using different attentional sets.
  • Transfer of training effects was assessed using novel color contexts and target colors.

Main Results:

  • Training emphasizing set switches significantly reduced set-specific capture compared to pretraining levels and control training.
  • These training-induced reductions did not transfer to new color contexts or single new target colors.

Conclusions:

  • Set-specific attentional capture is pervasive and shows limited malleability through practice.
  • Training effects are specific, suggesting low-level associative learning rather than broad attentional control changes.