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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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Control over sampling boosts numerical evidence processing in human decisions from experience.

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Summary
This summary is machine-generated.

Giving decision-makers control over when to stop information sampling improves choice accuracy and brain signals. This control enhances decision-making quality by amplifying evidence processing.

Keywords:
active samplingdecision-makingelectroencephalographyinformation searchnumber processing

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Area of Science:

  • Cognitive Neuroscience
  • Decision Science
  • Neuroeconomics

Background:

  • Decision-making involves acquiring information about alternatives.
  • The level of control over information acquisition can vary.
  • Understanding how control impacts decision quality is crucial.

Purpose of the Study:

  • To investigate the impact of control over information acquisition on sample-based decision quality.
  • To determine if control over *when* to stop sampling differs from control over *which* information to sample.

Main Methods:

  • A numerical sampling task was combined with neural recordings (electroencephalogram).
  • Participants performed tasks with varying levels of control over information sampling.
  • Behavioral accuracy and neural signals were analyzed.

Main Results:

  • Control over *when* to stop sampling enhanced behavioral choice accuracy.
  • This control also improved the build-up of parietal decision signals.
  • Neural patterns showed enhanced encoding of numerical sample information with this control.

Conclusions:

  • Freedom to stop sampling amplifies decisional evidence processing.
  • This leads to more accurate choices by improving information utilization.
  • Control over *which* alternatives to sample, but not *when* to stop, did not yield these benefits.