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Emotional intelligence: a theoretical framework for individual differences in affective forecasting.

Michael Hoerger1, Benjamin P Chapman, Ronald M Epstein

  • 1University of Rochester Medical Center, Department of Psychiatry,300 Crittenden Boulevard, Rochester, NY 14642, USA. Michael_Hoerger@URMC.Rochester.edu

Emotion (Washington, D.C.)
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

Emotional intelligence (EI) enhances affective forecasting accuracy and memory for emotional events. Higher EI leads to better prediction and learning in emotional forecasting tasks.

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Area of Science:

  • Psychology
  • Cognitive Science
  • Decision Making

Background:

  • Research on individual differences in affective forecasting is emerging.
  • Affective forecasting involves predicting future emotional states.

Purpose of the Study:

  • To investigate the role of emotional intelligence in affective forecasting.
  • To examine if emotional intelligence influences forecasting accuracy, memory, and learning.

Main Methods:

  • Two studies were conducted with 511 participants.
  • Emotional intelligence was assessed.
  • Participants completed affective forecasting tasks involving emotional pictures.

Main Results:

  • Emotional intelligence was positively associated with accuracy in predicting and remembering emotional reactions.
  • Higher emotional intelligence correlated with improved performance on a subsequent forecasting task.
  • Memory processes mediated the relationship between emotional intelligence and improved forecasting.

Conclusions:

  • Emotional intelligence is a significant factor in affective forecasting accuracy and learning.
  • Findings suggest emotional intelligence impacts decision-making processes involving future emotions.
  • Future research should explore applied implications in decision-making contexts.