Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Empathy, or the ability to understand and resonate with the experiences of others, has long been considered by philosophers and scientists to be an important part of human morality. We present a new framework that explains empathy as resulting from motivated decisions. Drawing on models of cybernetic control, value-based choice, and constructionism, we suggest that empathy shifts depending on how people value and prioritize conflicting goals. We generate novel predictions about the nature of empathy from the science of goal pursuit, and address its apparent limitations. Empathy appears less sensitive to suffering of large numbers and out-groups, leading some to suggest that empathy is an unreliable ethical guide. Whereas these arguments assume that empathy is a limited-capacity resource, we suggest that apparent limits of empathy reflect byproducts of domain-general goal pursuit. Arguments against empathy reflect a misguided essentialism: they mistake our own choices to avoid empathy for intrinsic features of empathy, treating empathy as a capricious emotion in conflict with reason. We suggest that empathy results from a rational decision, even if its rationality is bounded, as in many decisions in everyday life. Empathy may only be limited if we choose to avoid pursuing empathic goals.

License: CC-By Attribution 4.0 International

Has supplemental materials for The ends of empathy: Constructing empathy from value-based choice on PsyArXiv

Files

Loading files...

Citation

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.