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Related Concept Videos

Factors Affecting Perception01:25

Factors Affecting Perception

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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Hindsight Biases01:12

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
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Bias01:22

Bias

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Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
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Purposive Learning01:22

Purposive Learning

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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Cause and Effect01:53

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Updated: Jun 26, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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Bias in perceptual learning.

Madeleine Ransom1, Robert L Goldstone2,3

  • 1Department of Economics, Philosophy, and Political Science, University of British Columbia, Kelowna, British Columbia, Canada.

Wiley Interdisciplinary Reviews. Cognitive Science
|May 13, 2024
PubMed
Summary
This summary is machine-generated.

Perceptual learning enhances information extraction but can introduce biases. These biases are linked to individual interests and training environments, potentially becoming disadvantages if conditions change.

Keywords:
biasinductive generalizationperceptual expertiseperceptual learningrace

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Philosophy of Mind

Background:

  • Perceptual learning is typically viewed as beneficial, improving an individual's ability to gain information from their surroundings.
  • However, certain forms of perceptual learning exhibit biases that do not seem to offer clear advantages.
  • Understanding these biases is crucial for a comprehensive theory of perceptual learning.

Purpose of the Study:

  • To propose a systematic framework for analyzing biases in perceptual learning.
  • To examine how various instances of perceptual bias fit within this proposed framework.
  • To reconcile the concept of beneficial perceptual learning with the existence of non-advantageous biases.

Main Methods:

  • Conceptual analysis and theoretical framework development.
  • Case study analysis of existing research on perceptual biases.
  • Integration of findings from psychology, philosophy, and linguistics.

Main Results:

  • A framework is presented that categorizes different types of perceptual learning biases.
  • Several documented cases of perceptual bias are shown to align with this framework.
  • Biases are explained as being compatible with beneficial learning, contingent on specific interests and environments.

Conclusions:

  • Perceptual learning benefits are domain-specific and tied to individual interests.
  • Biases in perceptual learning can arise when environmental or interest-based conditions shift.
  • These biases, while potentially disadvantageous, are often transient and context-dependent.