The role of empathy in trolley problems and variants: A systematic review and meta‐analysis.

  • Published In: British Journal of Social Psychology, 2023, v. 62, n. 4. P. 1753 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Nasello, Julian A.; Triffaux, Jean‐Marc 3 of 3

Abstract

The role of empathy in morality is a subject of ongoing scientific debate due to the lack of systematic reviews and meta‐analyses on this topic. To address this gap, we conducted a PRISMA‐based systematic quantitative review to investigate the role of empathy in moral judgements, decision‐making, and inclinations using trolley problems and variants, which are popular types of moral dilemmas that explore utilitarianism and deontology. We searched for articles in four databases (PsycINFO, Pubmed, WorldWideScience, and Scopus) and performed citation searches. Out of 661 records, we selected 34 that studied the associations between empathy and moral judgements, moral decision‐making, and/or moral inclinations. Six meta‐analyses and systematic reviews of these records consistently showed small to moderate associations between affective empathy and these moral parameters, particularly in personal moral dilemmas involving intentional harm (although some approaches highlighted more complex associations between these parameters). Regarding other empathy domains, most studies found limited or insignificant links between cognitive empathy domains and moral judgements, decision‐making, and inclinations. We discuss the nuances and implications of these results. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Social Psychology. 2023/10, Vol. 62, Issue 4, p1753
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2023
  • ISSN:0144-6665
  • DOI:10.1111/bjso.12654
  • Accession Number:172855221
  • Copyright Statement:Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.