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Episodic simulation reduces intergroup bias in prosocial intentions and behavior.
Brendan Gaesser1, Yuki Shimura2, Mina Cikara3
1Department of Psychology.
Journal of Personality and Social Psychology
|June 4, 2019
Summary
Imagining helping scenarios, known as episodic simulation, boosts general willingness to help. This technique effectively reduces bias, increasing aid for out-groups to levels similar to in-groups.
Area of Science:
- Social Psychology
- Intergroup Relations
- Cognitive Science
Background:
- Intergroup bias often leads to reduced empathy and aid for out-groups compared to in-groups.
- Existing interventions primarily focus on group-level cognitions and emotions.
- The role of sensory experiences, specifically episodic simulation, in intergroup helping remains underexplored.
Purpose of the Study:
- To investigate if episodic simulation increases general willingness to help.
- To determine if episodic simulation reduces prosocial disparities between in-groups and out-groups.
- To examine the psychological mechanisms underlying the effects of episodic simulation on intergroup helping.
Main Methods:
- Five experiments were conducted involving episodic simulation manipulations.
- Participants imagined specific helping scenarios or control conditions.
- Measures included self-reported intentions, helping behaviors (letter writing, monetary donation), vividness, and perspective-taking.
Main Results:
- Episodic simulation significantly increased intentions to help both in-group and out-group targets.
- The disparity in prosocial intentions and behaviors between in-groups and out-groups was eliminated.
- Effects were mediated by the vividness of the imagined episode and increased perspective-taking.
Conclusions:
- Episodic simulation is an effective strategy for reducing intergroup bias in helping.
- This approach offers a novel pathway for conflict reduction and promoting prosociality across group boundaries.
- Future research should explore the intersection of episodic processes and intergroup dynamics.
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