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The effects of threat on complex decision-making: evidence from a virtual environment. | LitMetric

AI Article Synopsis

  • People in dangerous jobs, like first responders and soldiers, have to make tough decisions quickly while facing serious risks.
  • Researchers created a virtual game that simulates a life-threatening situation where players must make choices to escape a collapsing building.
  • The study found that when under threat, players made more impulsive decisions and focused on quick rewards instead of thinking ahead, showing that stress can change how we make choices.

Article Abstract

Individuals living and working in dangerous settings (e.g., first responders and military personnel) make complex decisions amidst serious threats. However, controlled studies on decision-making under threat are limited given obvious ethical concerns. Here, we embed a complex decision-making task within a threatening, immersive virtual environment. Based on the Iowa Gambling Task (IGT), a paradigm widely used to study complex decision-making, the task requires participants to make a series of choices to escape a collapsing building. In Study 1 we demonstrate that, as with the traditional IGT, participants learn to make advantageous decisions over time and that their behavioural data can be described by reinforcement-learning based computational models. In Study 2 we created threatening and neutral versions of the environment. In the threat condition, participants performed worse, taking longer to improve from baseline and scoring lower through the final trials. Computational modelling further revealed that participants in the threat condition were more responsive to short term rewards and less likely to perseverate on a given choice. These findings suggest that when threat is integral to decision-making, individuals make more erratic choices and focus on short term gains. They furthermore demonstrate the utility of virtual environments for making threat integral to cognitive tasks.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11442743PMC
http://dx.doi.org/10.1038/s41598-024-72812-2DOI Listing

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