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Who Can Predict Their Future Feelings? Individual Differences in Affective Forecasting Accuracy

Bibliographic Data

ID21209338
AuthorsKristen D Petagna (0000-0002-2162-415X, University of New Hampshire, corresponding author), Jolie B Wormwood (0000-0001-7542-8755, University of New Hampshire)
Year2025
Volume16
Issue2
Pages182-191
Publication date2025-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Psychological and Personality Science (JOURNAL)
Journal identifiersISSN: 1948-5506 • E-ISSN: 1948-5514
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/19485506231208749
OpenAlexW4388001058
LanguageEN
Citations received2
References cited23

We examine whether the accuracy of people’s predictions about their future emotions is related to the ways they experience their emotions throughout daily life, including individual differences in emotional granularity, emotional complexity, emotional intelligence, and emodiversity. Participants predicted how they would feel while viewing a series of evocative pictures based on descriptions; 1 week later they rated their felt emotion while viewing the pictures. Participants also completed a 7-day experience sampling protocol in which they rated their current emotions throughout the day, and these data were used to derive individual difference measures. Results revealed less prediction error for those higher in emotional intelligence and negative emotional granularity (for negative emotions only), but greater error for those higher in emodiversity. Findings shed light on individual differences in affective forecasting accuracy, a skill that has important implications for people’s daily choices and well-being

Cognitive psychology · Emotional intelligence · Experience sampling method · Feeling · Granularity · Computer Science · Mental Health Research Topics · Psychological and Temporal Perspectives Research · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology

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Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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