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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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How does attention spread across objects oriented in depth?

Irene Reppa1, Daryl Fougnie, William C Schmidt

  • 1Department of Psychology, Wales Institute for Cognitive Neuroscience, Swansea University, Swansea, Wales. i.reppa@swansea.ac.uk

Attention, Perception & Psychophysics
|May 4, 2010
PubMed
Summary
This summary is machine-generated.

Attention utilizes object-based representations that encode depth information. This depth information is processed in viewer-centered coordinates, not object-centered ones, influencing how attention spreads across objects.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Prior research indicates attention operates on object-based representations.
  • The encoding of depth information within these representations remains unclear.
  • The coordinate system (viewer- or object-centered) for depth encoding is unknown.

Purpose of the Study:

  • To investigate if object-based attention representations encode depth.
  • To determine if object depth is encoded in viewer-centered or object-centered coordinates.
  • To examine how object orientation in depth affects attentional processing.

Main Methods:

  • A spatial cuing paradigm with a 3-D object was used.
  • Exogenous cues were presented to one corner of the object with 75% validity.
  • The object was rotated in depth to manipulate cue-target distance and viewer perspective.

Main Results:

  • When a 3-D object was present, validity effects were independent of 2-D cue-target distance.
  • Attention shifts toward the viewer showed smaller validity effects compared to shifts away.
  • Without an object, validity effects increased with 2-D cue-target distance.

Conclusions:

  • Attention spreads across object representations that include depth information.
  • Object depth orientation is encoded using viewer-centered coordinates.
  • This suggests a specific mechanism for how attention interacts with 3D object representations.