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Related Experiment Video

Updated: Jun 19, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Feature-based attentional modulation increases with stimulus separation in divided-attention tasks.

Sharon L Sally1, Zoltán Vidnyánsky, Thomas V Papathomas

  • 1Department of Psychology, Laurentian University, Ontario, Canada. ssally@laurentian.ca

Spatial Vision
|November 7, 2009
PubMed
Summary

Selective attention enhances visual processing, with feature-based attention effects increasing linearly with target separation. This suggests attention prioritizes features, aiding target identification at greater distances.

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Last Updated: Jun 19, 2026

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Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Psychology

Background:

  • Attention selectively processes visual information, crucial for scene understanding.
  • Both spatial and feature-based attention mechanisms exist and can interact.
  • Understanding factors influencing attention deployment is vital.

Purpose of the Study:

  • To investigate how spatial parameters affect feature-based attentional modulation.
  • To examine this for orientation, motion, and color feature dimensions.
  • To clarify conditions influencing dual-task performance and feature-based attention.

Main Methods:

  • Three divided-attention tasks involving concurrent discrimination of two Gabor patch targets.
  • Targets presented at varying horizontal eccentricities (+/-2.5 to 15 degrees).
  • Size-scaling of Gabor patches ensured consistent single-task performance.

Main Results:

  • Attentional effects showed a linear increase with greater target separation across all feature dimensions.
  • Feature-based attentional effects were significantly reduced when targets were on an isoeccentric arc at close separation.
  • Results support the hypothesis that feature-based attention prioritizes attended features.

Conclusions:

  • Feature-based attention aids in directing focus to appropriate targets at greater spatial separations.
  • This mechanism may be less critical for closely spaced targets.
  • Findings elucidate how dual-task performance benefits from shared target features, clarifying feature-based attention processes.