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Decision-making under risk is complex. This study shows feedback influences probability weighting, affecting how people perceive gains and losses, suggesting updated theories are needed.

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Area of Science:

  • Decision Sciences
  • Behavioral Economics
  • Cognitive Psychology

Background:

  • Limited understanding of decision-making with both descriptive and experiential information.
  • Observed underweighting of small probabilities in the gain domain contradicts prospect theory.
  • Need for modified theories of decision-making under risk, considering probability weighting.

Purpose of the Study:

  • Investigate the impact of feedback on probability weighting in gain and loss domains.
  • Characterize the probability weighting function using a two-parameter model.
  • Replicate the fourfold pattern of risk attitude in a non-WEIRD population.

Main Methods:

  • Experimental design across gain and loss domains, with and without feedback.
  • Analysis of small and large probability conditions.
  • Utilized a two-parameter functional form to model probability weighting (discriminability and attractiveness).

Main Results:

  • Feedback induced underweighting of small probabilities and overweighting of large probabilities in the gain domain.
  • Feedback led to overall underweighting of probabilities in the loss domain.
  • Underweighting of small probabilities was linked to changes in discriminability and attractiveness (gain) and attractiveness (loss).

Conclusions:

  • Feedback significantly influences probability weighting, impacting choices under uncertainty.
  • Results support an updated belief-based account of decision-making under uncertainty.
  • Findings necessitate revisions to existing theories of decision-making under risk.