The motive cocktail in altruistic behaviors

Prosocial motives such as social equality and efficiency are key to altruistic behaviors. However, predicting the range of altruistic behaviors in varying contexts and individuals proves challenging if we limit ourselves to one or two motives. Here we demonstrate the numerous, interdependent motives in altruistic behaviors and the possibility to disentangle them through behavioral experimental data and computational modeling. In one laboratory experiment (N = 157) and one preregistered online replication (N = 1,258), across 100 different situations, we found that both third-party punishment and third-party helping behaviors (that is, an unaffected individual punishes the transgressor or helps the victim) aligned best with a model of seven socioeconomic motives, referred to as a motive cocktail. For instance, the inequality discounting motives imply that individuals, when confronted with costly interventions, behave as if the inequality between others barely exists. The motive cocktail model also provides a unified explanation for the differences in intervention willingness between second parties (victims) and third parties, and between punishment and helping.

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Publication Details

Journal
Nature Computational Science
Published
2024-09-12
DOI
https://doi.org/10.1038/s43588-024-00685-6
Citations
15
Primary Topic
Evolutionary Psychology and Human Behavior
Type
article
Field-Weighted Citation Impact
7.61

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article

The motive cocktail in altruistic behaviors

Xiangjuan Ren, Xiaoyan Wu, Hang Zhang, Chao Liu
15 citations
Nature Computational Science
Evolutionary Psychology and Human Behavior
7.61
article

The motive cocktail in altruistic behaviors

Xiangjuan Ren, Xiaoyan Wu, Hang Zhang, Chao Liu
article en
15 citations

Abstract

Prosocial motives such as social equality and efficiency are key to altruistic behaviors. However, predicting the range of altruistic behaviors in varying contexts and individuals proves challenging if we limit ourselves to one or two motives. Here we demonstrate the numerous, interdependent motives in altruistic behaviors and the possibility to disentangle them through behavioral experimental data and computational modeling. In one laboratory experiment (N = 157) and one preregistered online replication (N = 1,258), across 100 different situations, we found that both third-party punishment and third-party helping behaviors (that is, an unaffected individual punishes the transgressor or helps the victim) aligned best with a model of seven socioeconomic motives, referred to as a motive cocktail. For instance, the inequality discounting motives imply that individuals, when confronted with costly interventions, behave as if the inequality between others barely exists. The motive cocktail model also provides a unified explanation for the differences in intervention willingness between second parties (victims) and third parties, and between punishment and helping.

Nature Computational ScienceVol. 4(9)
McGovern Institute for Brain Research (US), Universität Hamburg (DE), Peking University (CN), Beijing Normal University (CN), Chinese Institute for Brain Research (CN), Max Planck Institute for Human Development (DE), Center for Life Sciences (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Beijing Municipal Science and Technology Commission, National Social Science Fund of China
Reduced inequalities
Openalex Percentile: Top 2%
Evolutionary Psychology and Human Behavior
7.61
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