Learning from in-group and out-group models induces separative effects on human mate copying.

Jiajia Xie, Lin Li, Yang Lu, Jinying Zhuang, Yuyan Wu, Peng Li, Li Zheng
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Abstract

Mate copying is a social learning process in which individuals gather public information about potential mates by observing models' choices. Previous studies have reported that individual attributes of female models affect mate copying, yet little is known about whether and how the group attributes of models influence mate copying. In the current behavioral and functional magnetic resonance imaging studies, female participants were asked to rate their willingness to choose the depicted males as potential romantic partners before and after observing in-group or out-group female models accepting, rejecting or being undecided (baseline) about the males. Results showed that participants changed their ratings to align with the models' acceptance or rejection choices. Compared to rejection copying, the effect of acceptance copying was stronger and regulated by in- and out-group models, manifesting a discounting copying effect when learning from out-group models. At the neural level, for acceptance copying, stronger temporoparietal junction (TPJ) activity and connectivity between TPJ and anterior medial prefrontal cortex (amPFC) were observed when female models belonged to out-group members; meanwhile, the functional connection of TPJ and amPFC positively predicted the rating changes when learning from out-group models. The results indicated that participants might need more resources to infer out-group members' intentions to overcome the in-group bias during acceptance copying.

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从组内和组外模型中学习会对人类配偶复制产生分离效应。
配偶复制是一种社会学习过程,个体通过观察模型的选择来收集关于潜在配偶的公共信息。先前的研究表明,女性模型的个体属性会影响配偶复制,但对模型的群体属性是否以及如何影响配偶复制知之甚少。在目前的行为和功能磁共振成像研究中,女性参与者被要求在观察组内或组外女性模型接受、拒绝或对男性犹豫不决(基线)之前和之后,对她们选择所描绘的男性作为潜在浪漫伴侣的意愿进行评分。结果显示,参与者改变了他们的评分,以符合模型的接受或拒绝选择。与拒绝复制相比,接受复制的效果更强,并受到组内和组外模型的调节,在从组外模型学习时表现出折扣复制效应。在神经水平上,对于接受复制,当女性模型属于组外成员时,观察到更强的颞顶叶结合部(TPJ)活动以及TPJ与前内侧前额叶皮层(amPFC)之间的连接;同时,当从组外模型学习时,TPJ和amPFC的功能连接正预测了评级变化。结果表明,参与者可能需要更多的资源来推断出小组成员的意图,以克服接受复制过程中的组内偏见。
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