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Related Concept Videos

Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Related Experiment Video

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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

Attention induces conservative subjective biases in visual perception.

Dobromir Rahnev1, Brian Maniscalco, Tashina Graves

  • 1Department of Psychology, Columbia University, New York, New York, USA.

Nature Neuroscience
|October 25, 2011
PubMed
Summary

Attention can surprisingly lead to conservative detection biases and lower visibility, contrary to enhancing sensitivity. This occurs because attention reduces perceptual signal variability, impacting how we perceive visual scenes.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Attention typically enhances perceptual sensitivity.
  • Limited processing capacity exists outside the focus of attention.
  • Understanding attention's dual role in perception is crucial.

Purpose of the Study:

  • To investigate how attention influences detection biases and visibility ratings.
  • To explain observed behavioral effects using a computational model.
  • To explore the relationship between attention, signal variability, and subjective experience.

Main Methods:

  • Conducted discrimination tasks to measure detection biases and visibility.
  • Developed and tested a model where attention reduces perceptual signal variability.
  • Analyzed the model's predictions against experimental data.

Main Results:

  • Attention led to more conservative detection biases.
  • Attention resulted in lower visibility ratings in discrimination tasks.
  • A model of reduced perceptual signal variability accurately explained these findings.

Conclusions:

  • Attention's effect on perception is complex, involving both enhanced sensitivity and conservative biases.
  • Reduced trial-by-trial variability of the perceptual signal is a key mechanism.
  • These findings may explain the subjective experience of perceiving a whole scene despite limited focus.