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Affective integration in experience, judgment, and decision-making.

Erkin Asutay1, Daniel Västfjäll2,3

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This study proposes a dynamic model of affect, integrating emotional states over time to influence decisions. Understanding affective dynamics offers new insights into value-based judgment and decision-making processes.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Decision Science

Background:

  • Affect's role in decision-making is increasingly studied.
  • Previous models often overlook the temporal nature of emotions.
  • Static emotional states are typically linked to behavior.

Purpose of the Study:

  • To propose a dynamic framework for understanding affect in decision-making.
  • To integrate temporal dependencies of mental states into value-based judgment.
  • To explore how affective dynamics influence information processing.

Main Methods:

  • Conceptual modeling of affective integration over time.
  • Theoretical framework integrating expected and experienced consequences.
  • Analysis of affect's influence on judgment and decision-making.

Main Results:

  • Affective experiences are integrated over time, reflecting resource-demand states.
  • Affective integration is context-dependent and modulates judgments/decisions.
  • Changes in affect serve as information, spotlight, and motivation.

Conclusions:

  • A dynamical account of affect is crucial for understanding decision-making.
  • Integrating affective dynamics offers novel insights into value-based judgments.
  • This approach highlights how evolving emotional states shape choices.