ORIGINAL RESEARCH article

Front. Psychol.

Sec. Emotion Science

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1570369

Time matters: On the predictive power of current, short-and long-term expected valence in an experience based learning task

Provisionally accepted
  • 1University of Bamberg, Bamberg, Germany
  • 2Department of Psychology, University of Bamberg, Bamberg, Bavaria, Germany

The final, formatted version of the article will be published soon.

This study investigates the predictive power of current, short-, and long-term expected valence in decision-making within an experience-based learning task. Across two experiments participants engaged in a gambling task where they had to balance short-and long-term outcomes to maximize gains. In Experiment 1 participants had to accept short-term losses to achieve long-term gains, while in Experiment 2 they had to omit short-term gains. Results from generalized mixed-effects models revealed that all three valence constructs (current, short-term, and long-term expected valence) were significant predictors of risky choices, with their influence modulated by the specific choice context. In a loss context participants relied more on short-term expectations, while in an omission context long-term expectations played a stronger role. These findings align with existing literature on the influence of emotional valence on decision-making and demonstrate the adaptability of the subjective valuation system across different choice scenarios. The study highlights the importance of considering multiple emotional selfreport dimensions in decision-making processes.

Keywords: current valence, expected valence, subjective value, loss aversion, framing effects, recurrent decisions

Received: 03 Feb 2025; Accepted: 25 Jun 2025.

Copyright: © 2025 Ruesseler and Jäger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jascha Ruesseler, University of Bamberg, Bamberg, Germany

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