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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...

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Affective decision making under uncertainty during a plausible aviation task: an fMRI study.

Mickaël Causse1, Patrice Péran, Frédéric Dehais

  • 1Institut Supérieur de l'Aéronautique et de l'Espace, Département Mathématiques, Informatique, Automatique, Université de Toulouse, 10 avenue E. Belin 31055 Toulouse Cedex 4, France. mickael.causse@isae.fr

Neuroimage
|January 15, 2013
PubMed
Summary

Plan continuation error (PCE) in aviation may stem from emotional influences during go-around decisions. High uncertainty and financial incentives disrupt rational decision-making networks, impacting flight safety.

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Area of Science:

  • Neuroscience
  • Aviation Psychology
  • Cognitive Science

Background:

  • Plan continuation error (PCE) is a critical safety issue in aviation, involving failure to update flight plans despite risks.
  • PCE may be linked to a shift from "cold" rational to "hot" emotional decision-making, especially during go-around decisions.

Purpose of the Study:

  • To investigate the neural mechanisms underlying the shift from cold to hot reasoning in aviation decision-making.
  • To examine how financial incentives and situational uncertainty influence decision strategies and brain activity.

Main Methods:

  • Functional neuroimaging (fMRI) was combined with an ecologically valid aviation task.
  • Participants made landing decisions under varying financial incentives and levels of uncertainty.
  • Behavioral data (decision strategies, discriminability index d') and brain activity were recorded.

Main Results:

  • High uncertainty coupled with financial incentives induced a shift towards hot decision-making.
  • Increased activity was observed in frontal regions (DLPFC, ACC) with uncertainty.
  • Combined reward and uncertainty led to reduced overall frontal activity.
  • Poorer decision-making (lower d') correlated with riskier behavior and lower right DLPFC activity.

Conclusions:

  • Biased financial incentives and high uncertainty disrupt rational decision-making neural networks.
  • This disruption impacts decision relevance and may contribute to plan continuation errors.
  • Understanding these neural underpinnings is crucial for enhancing aviation safety.