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Published on: August 25, 2023
Current and expected affective valence interact to predict choice in recurrent decisions.
Daniel Thomas Jäger1,2, Celine Behrens1, Jascha Rüsseler1,2
1Department of Psychology, Otto-Friedrich University, Bamberg, Germany.
Affective valence, encompassing current and expected feelings, significantly influences choices in repeated decision-making tasks. These emotional factors interact, with current feelings becoming more influential when expectations are uncertain or positive.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Behavioral Economics
Background:
- Affective valence (feelings) influences decision-making.
- The precise role of current versus expected affect in recurrent decisions remains debated.
Purpose of the Study:
- To investigate the interaction between current and expected affective valence in predicting choices during recurrent decision-making.
- To clarify the distinct and combined contributions of current and expected affect.
Main Methods:
- Utilized a generalized mixed-effects model.
- Analyzed gambling responses in an experience-based learning task.
- Collected ratings of current and expected affective valence.
Main Results:
- Current and expected affective valence significantly interact to predict choices.
- Expected valence showed the largest effect size, but current valence and the interaction were also significant predictors.
- Participants relied more on current affective valence when expectations were unclear or positive.
Conclusions:
- Current and expected affective valence are interdependent and interact to guide choices in recurrent decision tasks.
- Findings support dual-process theories and the affective signaling hypothesis in decision-making.
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