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Related Concept Videos

Decision Making01:20

Decision Making

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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.
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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...
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Decision Making: Traditional Method01:14

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In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective. 
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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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Heuristics01:21

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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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Humans optimize decision-making by delaying decision onset.

Tobias Teichert1, Vincent P Ferrera2, Jack Grinband3

  • 1Department of Neuroscience, Columbia University, New York, New York, United States of America; Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.

Plos One
|March 7, 2014
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Summary
This summary is machine-generated.

Humans can improve decision accuracy by strategically delaying the start of their decision-making process, rather than just prolonging it. This research explores how selective attention and evidence accumulation influence perceptual error.

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Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Perceptual decision-making

Background:

  • Human errors in perceptual decisions often stem from initiating evidence accumulation before selective attention fully isolates relevant sensory information.
  • Current assumptions suggest accuracy improves by prolonging decisions, not delaying their onset.

Purpose of the Study:

  • To investigate whether humans can strategically delay decision onset to enhance response accuracy.
  • To test the hypothesis that delaying decision onset is a viable strategy for improving perceptual decision-making.

Main Methods:

  • Utilized a novel variant of the response signal paradigm to measure the time course of selective attention in a motion interference task.
  • Estimated time-dependent drift rate based on attention measurements.
  • Compared performance in a free reaction task emphasizing accuracy versus speed.

Main Results:

  • Theoretical analysis indicated that delaying decision onset can effectively trade speed for accuracy.
  • Empirical data confirmed that participants delayed decision onset and raised response thresholds when prioritizing accuracy.
  • Demonstrated that decision onset is a flexible parameter influencing accuracy.

Conclusions:

  • Decision onset is a critical, adjustable aspect of the decision-making process.
  • Strategic delay of decision onset, alongside response threshold adjustments, effectively improves perceptual decision accuracy.
  • Findings challenge previous assumptions about optimizing accuracy in perceptual tasks.