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.
Authors
- Xiangjuan Ren (ORCID: https://orcid.org/0000-0001-9428-1023)
- Xiaoyan Wu (ORCID: https://orcid.org/0000-0002-2683-3807)
- Hang Zhang (ORCID: https://orcid.org/0000-0002-9771-0660)
- Chao Liu (ORCID: https://orcid.org/0000-0003-1149-2314)
Institutions
- 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)
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
Funders
- 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