Voluntary or reluctant? Social influence in charitable giving: an ERP study

被引:7
|
作者
Xu, Qiang [1 ]
He, Shengnan [2 ]
Li, Zhurong [1 ]
Duan, Ran [1 ]
Li, Peng [1 ,3 ,4 ]
机构
[1] Shenzhen Univ, Sch Psychol, Shenzhen 518060, Peoples R China
[2] 21st Primary Sch Xiangzhou Zhuhai, Dept Moral Educ, Zhuhai 519000, Peoples R China
[3] Shenzhen Univ, Shenzhen Key Lab Affect & Social Cognit Sci, Shenzhen 518060, Peoples R China
[4] Shenzhen Univ, Sch Psychol, 3688, Nanhai Rd, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
charitable giving; social influence; FRN; P3; social pressure; OUTCOME EVALUATION; FIELD EXPERIMENT; FEEDBACK; REWARD; INFORMATION; PREDICTION; DONATIONS; ALTRUISM; BEHAVIOR; ERROR;
D O I
10.1093/scan/nsad010
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Social information has substantial influences on prosocial behavior. In this study, we performed an event-related potential (ERP) experiment to examine the effect of social influence on giving. The participants were allowed to form an initial decision on how much money to donate to a charity provided the program's average donation amount and to make a second donation decision. Social influence varied in different directions (upward, downward and equal) by altering the relative donation amount between the average donation amount and the participants' first donation amount. The behavioral results showed that participants increased their donation amount in the upward condition and decreased it in the downward condition. The ERP results revealed that upward social information evoked larger feedback-related negativity (FRN) amplitudes and smaller P3 amplitudes than in the downward and equal conditions. Furthermore, the pressure ratings, rather than the happiness ratings, were associated with the FRN patterns across the three conditions. We argue that people in social situations are more likely to increase their donations owing to pressure than voluntary altruism. Our study provides the first ERP evidence that different directions of social information evoke different neural responses in time course processing.
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页数:9
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