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Related Experiment Video

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Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
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Grouping based feature attribution in metacontrast masking.

Thomas U Otto1

  • 1Laboratory of Psychophysics, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland.

Advances in Cognitive Psychology
|June 3, 2010
PubMed
Summary

Metacontrast masking can hide targets, but perceived features are not errors. These "mis-localizations" actually follow motion grouping rules, revealing a systematic feature attribution process in vision.

Keywords:
attentionfeature attributionfeature integrationmetacontrast maskingmotion grouping

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Area of Science:

  • Visual perception
  • Cognitive neuroscience

Background:

  • Metacontrast masking suppresses target visibility.
  • Perceived target features during masking are often considered visual system errors.

Purpose of the Study:

  • To investigate whether feature "mis-localizations" in metacontrast masking are random errors or follow systematic rules.
  • To demonstrate that these phenomena are linked to motion grouping principles.

Main Methods:

  • Analysis of feature "mis-localizations" under metacontrast masking conditions.
  • Examination of the relationship between these mis-localizations and principles of motion grouping.

Main Results:

  • Feature "mis-localizations" in metacontrast masking are not random errors.
  • These mis-localizations systematically follow rules of motion grouping.

Conclusions:

  • "Mis-localizations" of features during metacontrast masking are evidence of a systematic feature attribution process.
  • This process is governed by motion grouping, not visual system errors.