Anthony S. Gabay, Andrea Pisauro, Kathryn C. O’Nell, Matthew A. J. Apps
{"title":"Social environment-based opportunity costs dictate when people leave social interactions","authors":"Anthony S. Gabay, Andrea Pisauro, Kathryn C. O’Nell, Matthew A. J. Apps","doi":"10.1038/s44271-024-00094-5","DOIUrl":null,"url":null,"abstract":"There is an ever-increasing understanding of the cognitive mechanisms underlying how we process others’ behaviours during social interactions. However, little is known about how people decide when to leave an interaction. Are these decisions shaped by alternatives in the environment – the opportunity-costs of connecting to other people? Here, participants chose when to leave partners who treated them with varying degrees of fairness, and connect to others, in social environments with different opportunity-costs. Across four studies we find people leave partners more quickly when opportunity-costs are high, both the average fairness of people in the environment and the effort required to connect to another partner. People’s leaving times were accounted for by a fairness-adapted evidence accumulation model, and modulated by depression and loneliness scores. These findings demonstrate the computational processes underlying decisions to leave, and highlight atypical social time allocations as a marker of poor mental health. Across four experiments, participants chose to spend more time with partners who made fair offers; likewise, a poor social environment and low opportunity-costs led participants to stay with partners.","PeriodicalId":501698,"journal":{"name":"Communications Psychology","volume":" ","pages":"1-13"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44271-024-00094-5.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Psychology","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44271-024-00094-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
There is an ever-increasing understanding of the cognitive mechanisms underlying how we process others’ behaviours during social interactions. However, little is known about how people decide when to leave an interaction. Are these decisions shaped by alternatives in the environment – the opportunity-costs of connecting to other people? Here, participants chose when to leave partners who treated them with varying degrees of fairness, and connect to others, in social environments with different opportunity-costs. Across four studies we find people leave partners more quickly when opportunity-costs are high, both the average fairness of people in the environment and the effort required to connect to another partner. People’s leaving times were accounted for by a fairness-adapted evidence accumulation model, and modulated by depression and loneliness scores. These findings demonstrate the computational processes underlying decisions to leave, and highlight atypical social time allocations as a marker of poor mental health. Across four experiments, participants chose to spend more time with partners who made fair offers; likewise, a poor social environment and low opportunity-costs led participants to stay with partners.