Jasper Amadeus Bischofberger, Anne Saulin, Yuqing Zhou, Grit Hein
{"title":"Learning from financial rewards and punishments reduces the in-group bias in social approach without changing the in-group bias in impressions.","authors":"Jasper Amadeus Bischofberger, Anne Saulin, Yuqing Zhou, Grit Hein","doi":"10.1098/rsos.250061","DOIUrl":null,"url":null,"abstract":"<p><p>Humans' approach behaviour and impressions are biased towards individuals from their own group (in-group) compared with different groups (out-group). There is evidence that learning from specific interactions with in-group and out-group members can reduce these in-group biases, but it is yet unclear if learning from non-social reinforcers, such as financial rewards and punishments, can have similar effects. Here, we conducted three independent studies by using different versions of a novel approach-avoidance learning task, intergroup impression ratings and computational learning models. In the approach-avoidance learning task, participants moved a manikin representing themselves towards or away from one of two symbols, representing in-group or out-group individuals or which had no social meaning. Approach was financially rewarded with varying probabilities. Our results confirmed initial in-group biases in approach and impression ratings. Rewarding out-group approach significantly reduced the in-group bias in approach, with stronger learning from rewards compared with punishments. In contrast, the in-group bias in impressions remained unchanged. Two further studies showed that learning-related changes in approach are larger in social compared with non-social contexts and require varying reward probabilities. Together, these findings show that learning from financial rewards or punishments can improve out-group approach but not out-group impressions.</p>","PeriodicalId":21525,"journal":{"name":"Royal Society Open Science","volume":"12 9","pages":"250061"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441317/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Royal Society Open Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsos.250061","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Humans' approach behaviour and impressions are biased towards individuals from their own group (in-group) compared with different groups (out-group). There is evidence that learning from specific interactions with in-group and out-group members can reduce these in-group biases, but it is yet unclear if learning from non-social reinforcers, such as financial rewards and punishments, can have similar effects. Here, we conducted three independent studies by using different versions of a novel approach-avoidance learning task, intergroup impression ratings and computational learning models. In the approach-avoidance learning task, participants moved a manikin representing themselves towards or away from one of two symbols, representing in-group or out-group individuals or which had no social meaning. Approach was financially rewarded with varying probabilities. Our results confirmed initial in-group biases in approach and impression ratings. Rewarding out-group approach significantly reduced the in-group bias in approach, with stronger learning from rewards compared with punishments. In contrast, the in-group bias in impressions remained unchanged. Two further studies showed that learning-related changes in approach are larger in social compared with non-social contexts and require varying reward probabilities. Together, these findings show that learning from financial rewards or punishments can improve out-group approach but not out-group impressions.
期刊介绍:
Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review.
The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.