Emotions Shape Effort-Reward Choices: Positive Valence Decreases Effort, Except Under High Arousal

Jamie C. Chiu, Nicholas Budny, Aetizaz Sameer, Persis A. Baah, Dan Mircea Mirea, Isabel M. Berwian, Yael Niv

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study examined how the emotional dimensions of arousal and valence influence effort-based decision-making. Twenty-eight participants were exposed to either low arousal & high valence (-A/+V) or high arousal & low valence (+A/-V) stimuli in a task that required choosing between a more rewarding but also more effortful option versus a less effortful but also less rewarding one. We recorded eye movements, fixation times, and self-reported arousal and valence ratings. Results showed that participants in the +A/-V condition were more likely to select the effortful option (62% vs. 56%), with a significant interaction between arousal and valence (β= 0.46, 95% CI [0.26, 0.67]; p <.001). Specifically, positive valence reduced preference for effortful choices, but this effect became null under high arousal. Additionally, participants in the -A/+V condition took longer to make decisions and attended more to reward information than to effort information. These findings suggest complex emotional influences on effort-based decisions.

Original languageEnglish (US)
Title of host publicationProceedings, ETRA 2025 - ACM Symposium on Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400714870
DOIs
StatePublished - May 25 2025
Event17th ACM Symposium on Eye Tracking Research and Applications, ETRA 2025 - Tokyo, Japan
Duration: May 26 2025May 29 2025

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference17th ACM Symposium on Eye Tracking Research and Applications, ETRA 2025
Country/TerritoryJapan
CityTokyo
Period5/26/255/29/25

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

Keywords

  • affective state
  • decision making
  • dwell time
  • effort-reward trade-off
  • emotion induction
  • eye tracking

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