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Related Concept Videos

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Depth Perception and Spatial Vision

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Related Experiment Video

Updated: Jun 13, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Crossmodal spatial attention.

Charles Spence1

  • 1Crossmodal Research Laboratory, Department of Experimental Psychology, University of Oxford, Oxford, OX1 3UD, United Kingdom. charles.spence@psy.ox.ac.uk

Annals of the New York Academy of Sciences
|April 16, 2010
PubMed
Summary
This summary is machine-generated.

Recent studies question automatic spatial attention responses to single sensory cues. Multisensory cues are more effective at capturing attention, with implications for designing better warning signals.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Exogenous spatial attention is typically studied using unimodal cues.
  • The automaticity of spatial orienting to peripheral, spatially uninformative cues is debated.
  • Crossmodal attention research is increasingly applied to real-world problems.

Purpose of the Study:

  • To review recent developments in crossmodal spatial attention.
  • To examine the effectiveness of multisensory versus unimodal cues in attention capture.
  • To discuss the application of crossmodal attention research to interface design, particularly warning signals.

Main Methods:

  • Review of recent laboratory-based studies on crossmodal spatial attention.
  • Analysis of research comparing multisensory and unimodal cue effectiveness.
  • Discussion of applied research in interface design.

Main Results:

  • Evidence suggests that exogenous spatial orienting may not be fully automatic.
  • Multisensory cues capture spatial attention more effectively than unimodal cues.
  • Crossmodal attention principles are relevant for designing effective multisensory warning signals.

Conclusions:

  • The automaticity of spatial attention requires further investigation.
  • Multisensory integration enhances attentional capture.
  • Future applied research should focus on optimizing crossmodal exogenous spatial attention in real-world systems.