多种动机的计算解释,指导着依赖上下文的亲社会行为
Claire Lugrin1, Jie Hu1,2, Christian C Ruff1,3,4
1Zurich Center for Neuroeconomics (ZNE), Department of Economics, University of Zurich, Zurich, Switzerland.
PLoS computational biology
|April 21, 2025
概括
了解亲社会行为是社会功能的关键. 这项研究确定了亲社会选择的四种不同的个人动机,揭示了这些动机如何与社会规范相互作用并影响集体福祉.
科学领域:
- 行为经济学是一种行为经济学.
- 社会心理学 社会心理学
- 计算社会科学 计算社会科学
背景情况:
- 亲社会行为对于医疗保健和福利等社会功能至关重要.
- 个人亲社会行为往往偏离社会规范,导致自私的行为损害集体利益.
- 现有的促进亲社会性的干预措施受限于对潜在动机和情境变化的不完全理解.
研究的目的:
- 开发一个计算和实验框架,用于识别亲社会选择背后的个人动机.
- 描述这些动机如何在不同的社会背景和规范中发生变化.
- 了解亲社会判断和行为中的异质性.
主要方法:
- 对575名参与者进行了实验,评估了规范性适当性,并在亲社会和自私行为之间做出选择.
- 利用计算决策模型来量化判断和选择中的冲突动机.
- 采用集群方法来识别不同的个人动机配置文件.
主要成果:
- 确定了四种不同的参与者类型:无条件自私,成本敏感,效率敏感和危害敏感.
- 证明,虽然对行为适当性的判断是一致的,但实际的亲社会行为在个人之间有很大的差异.
- 表明不同类型的参与者对社会规范和群体行为的变化有着独特的反应.
结论:
- 鉴定到的动机概况提供了对亲社会行为的个体差异的细微理解.
- 识别这些不同的类型及其对社会环境的反应可以为更有效的行为干预提供信息.
- 这一框架为政策制定和设计促进亲社会化的干预措施提供了洞察力.
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