{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4(1)"],"submitter":["Wu Q"],"funding":["Honda Research Institute USA"],"pubmed_abstract":["The origins of human prosociality, in particular between strangers, are multifaceted. While laboratory studies support a cost-benefit account of helping, real-life scenarios involve additional socio-emotional motives grounded in subjective intuitions. How the cost-benefit model generalizes to everyday helping behavior remains unclear. In this study, we comprehensively assessed how motivations jointly shape helping across 100 naturalistic helping scenarios: an online sample (N<sub>1</sub> = 215) rated willingness to help after reading brief vignettes, and a subset (N<sub>2</sub> = 140) rated the strengths of candidate motivations elicited by each scenario. Two key factors-benefit to both helper and helpee, and cost to the helper-were identified through a factor analysis of the motivation ra"],"journal":["Communications psychology"],"pagination":["2"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12770495"],"repository":["biostudies-literature"],"pubmed_title":["Prosocial decisions in naturalistic helping scenarios are predicted by cost-benefit tradeoffs and individual disposition."],"pmcid":["PMC12770495"],"pubmed_authors":["Dunning D","Song M","Wu Q","Tian D","Ayoub J","Moradi-Pari E"],"additional_accession":[]},"is_claimable":false,"name":"Prosocial decisions in naturalistic helping scenarios are predicted by cost-benefit tradeoffs and individual disposition.","description":"The origins of human prosociality, in particular between strangers, are multifaceted. While laboratory studies support a cost-benefit account of helping, real-life scenarios involve additional socio-emotional motives grounded in subjective intuitions. How the cost-benefit model generalizes to everyday helping behavior remains unclear. In this study, we comprehensively assessed how motivations jointly shape helping across 100 naturalistic helping scenarios: an online sample (N<sub>1</sub> = 215) rated willingness to help after reading brief vignettes, and a subset (N<sub>2</sub> = 140) rated the strengths of candidate motivations elicited by each scenario. Two key factors-benefit to both helper and helpee, and cost to the helper-were identified through a factor analysis of the motivation ra","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-11T04:51:09.493Z","creation":"2026-06-11T03:08:06.373Z"},"accession":"S-EPMC12770495","cross_references":{"pubmed":["41422339"],"doi":["10.1038/s44271-025-00371-x"]}}