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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Multiple-reason decision making based on automatic processing.

Andreas Glöckner1, Tilmann Betsch

  • 1Max Planck Institute for Research on Collective Goods, Bonn, Germany. gloeckner@coll.mpg.de

Journal of Experimental Psychology. Learning, Memory, and Cognition
|September 4, 2008
PubMed
Summary

Time constraints may not limit decision-making strategies due to cognitive capacity, but rather information search limitations. Removing these search restrictions reveals individuals can quickly use complex decision strategies.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Behavioral Economics

Background:

  • Decisions under time constraints often show reliance on noncompensatory strategies.
  • This reliance is commonly attributed to cognitive capacity limitations.

Purpose of the Study:

  • To investigate if information search limitations, rather than cognitive capacity, explain strategy use under time pressure.
  • To challenge the assumption that Mouselab (J. W. Payne, J. R. Bettman, & E. J. Johnson, 1988) restricts information search, impacting decision strategy findings.

Main Methods:

  • Three experiments were conducted.
  • Experiment 1: Open information presentation.
  • Experiment 2: Standard Mouselab with varied time limits.
  • Experiment 3: Complex decision tasks with unrestricted information search.

Main Results:

  • Individuals rapidly compute weighted additive strategies when information search is not restricted.
  • Findings were replicated with more complex decision tasks.
  • Alternative explanations, such as complex heuristics or cue constellation encoding, were ruled out.

Conclusions:

  • The study challenges the principles of bounded rationality.
  • Experimental procedures, specifically information search limitations, significantly influence observed decision-making strategies.
  • Automatic cognitive processes play a crucial role in decision making.