Rapid Fear Detection Predicts Prosocial Giving

Abstract Prosociality is fundamental to human social life, yet individuals vary widely in their willingness to incur costs for others. What drives this variation? We tested four preregistered hypotheses about whether the speed of detecting specific social stimuli (faces vs. cars, infant vs. elderly faces, fearful vs. angry faces, trustworthy vs. untrustworthy faces) is associated with prosocial giving. Participants (N = 200) completed visual detection tasks, personality assessments, a Director Task measuring Theory of Mind, and two economic games: the Dictator Game, indexing costly giving in the absence of strategic pressure, and the Ultimatum Game, indexing giving under strategic constraints. One hypothesis received partial support: faster detection of fearful faces was associated with greater giving, an effect that was most robust in the Dictator Game and was significant in the primary analyses. Robustness checks confirmed the Dictator Game finding across analytic approaches, while the Ultimatum Game effect was attenuated in analyses using robust standard errors and ordinal logistic regression. Neither detection of other social stimuli, Big Five personality traits, facial width-to-height ratio, nor Theory of Mind performance reliably predicted giving. These findings suggest that absolute speed of detecting distress signals reliably predicted prosocial giving, that this effect did not reflect general processing speed, and that general social attunement, vulnerability sensitivity, and higher-order social cognition did not reliably predict giving.

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Publication Details

Journal
Affective Science
Published
2026-10-28
DOI
https://doi.org/10.1007/s42761-026-00416-2
Primary Topic
Experimental Behavioral Economics Studies
Type
article
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article

Rapid Fear Detection Predicts Prosocial Giving

Tobias Großmann, Kenn L Dela Cruz
1 links
Affective Science
Experimental Behavioral Economics Studies
article

Rapid Fear Detection Predicts Prosocial Giving

Tobias Großmann, Kenn L Dela Cruz
article en

Abstract

Abstract Prosociality is fundamental to human social life, yet individuals vary widely in their willingness to incur costs for others. What drives this variation? We tested four preregistered hypotheses about whether the speed of detecting specific social stimuli (faces vs. cars, infant vs. elderly faces, fearful vs. angry faces, trustworthy vs. untrustworthy faces) is associated with prosocial giving. Participants (N = 200) completed visual detection tasks, personality assessments, a Director Task measuring Theory of Mind, and two economic games: the Dictator Game, indexing costly giving in the absence of strategic pressure, and the Ultimatum Game, indexing giving under strategic constraints. One hypothesis received partial support: faster detection of fearful faces was associated with greater giving, an effect that was most robust in the Dictator Game and was significant in the primary analyses. Robustness checks confirmed the Dictator Game finding across analytic approaches, while the Ultimatum Game effect was attenuated in analyses using robust standard errors and ordinal logistic regression. Neither detection of other social stimuli, Big Five personality traits, facial width-to-height ratio, nor Theory of Mind performance reliably predicted giving. These findings suggest that absolute speed of detecting distress signals reliably predicted prosocial giving, that this effect did not reflect general processing speed, and that general social attunement, vulnerability sensitivity, and higher-order social cognition did not reliably predict giving.

Affective Science
University of Virginia (US)
Openalex Percentile: Top 9%
Experimental Behavioral Economics Studies
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Rapid Fear Detection Predicts Prosocial Giving — Tobias Großmann, Kenn L Dela Cruz · Affective Science (2026) | TGRS Research Map | TGRS