Mood as input: People have to interpret the motivational implications of their moods.

Martin, Leonard L., Ward, David W., Achee, John W., Wyer, Robert S.·1993·Journal of Personality and Social Psychology

Abstract

It was hypothesized that moods have few, if any, motivational or processing implications, but are input to other processes that determine their motivational implications. In Experiment 1, Ss read a series of behaviors in forming an impression. When told to read the behaviors until they felt they had enough information, those in positive moods (PMs) stopped sooner than did those in negative moods (NMs). When told to stop when they no longer enjoyed reading the behaviors, NMs stopped sooner than PMs

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    Fredrickson, Barbara L., Branigan, Christine · 2005 · Cognition & Emotion
  2. Representativeness revisited: Attribute substitution in intuitive judgment.
    Kahneman, Daniel, Frederick, Shane · 2002 · Heuristics and Biases
  3. The Role of Emotions in Marketing
    Bagozzi, R. P., Gopinath, M., Nyer, P. U. · 1999 · Journal of the Academy of Marketing Science
  4. Mood and judgment: The affect infusion model (AIM).
    Forgas, Joseph P. · 1995 · Psychological Bulletin
  5. Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition.
    Cacioppo, John T., Petty, Richard E., Feinstein, Jeffrey A., Jarvis, W. Blair G. · 1996 · Psychological Bulletin

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Mood as input: People have to interpret the motivational implications of their moods. https://app.cochat.ai/papers/10.1037//0022-3514.64.3.317
The paper
Martin, L. L., Ward, D. W., Achee, J. W., & Wyer, R. S. (1993). Mood as input: People have to interpret the motivational implications of their moods. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.64.3.317

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.