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Updated: Jun 11, 2025

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
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The expectation-updating mechanism in gratitude: A predictive coding perspective.

Ke Ding1, Haiqi Lin1, Guanmin Liu2

  • 1School of Psychology, Shenzhen University.

Emotion (Washington, D.C.)
|September 30, 2024
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Gratitude fluctuates with expectations. Predictive coding theory explains this, showing how prediction errors, not constant help, drive gratitude. This offers new insights into emotional dynamics and well-being.

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Area of Science:

  • Cognitive Psychology
  • Social Psychology
  • Neuroscience

Background:

  • Traditional emotion theories fail to explain gratitude fluctuations during social interactions.
  • Predictive coding theory offers a potential framework, suggesting expectations influence emotional responses.
  • A gap exists in understanding the link between prediction errors and gratitude dynamics.

Purpose of the Study:

  • To investigate the relationship between expectation-updating, prediction errors, and gratitude.
  • To examine the role of predictive coding in explaining gratitude fluctuations.
  • To compare predictive coding models with traditional theories in modeling gratitude.

Main Methods:

  • Two studies were conducted involving reward-gaining and punishment-avoiding tasks.
  • Participants' expectations and gratitude levels were measured.
  • A computational model based on predictive coding was developed and tested.

Main Results:

  • Higher expectations correlated with lower gratitude when help was refused.
  • Prediction errors were positively associated with gratitude.
  • Gratitude dynamics were effectively explained by an expectation-updating mechanism.

Conclusions:

  • Findings support predictive coding theory in explaining gratitude fluctuations.
  • Predictive coding provides a temporal and mechanistic understanding of gratitude.
  • This research has implications for mental health and well-being interventions.