↓ Skip to main content

People believe each other to be selfish hedonic maximizers

Overview of attention for article published in Psychonomic Bulletin & Review, February 2014
Altmetric Badge

Mentioned by

twitter
10 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
23 Mendeley
Title
People believe each other to be selfish hedonic maximizers
Published in
Psychonomic Bulletin & Review, February 2014
DOI 10.3758/s13423-014-0592-7
Pubmed ID
Authors

Stefania De Vito, Jean-François Bonnefon

Abstract

Current computational models of theory of mind typically assume that humans believe each other to selfishly maximize utility, for a conception of utility that makes it indistinguishable from personal gains. We argue that this conception is at odds with established facts about human altruism, as well as the altruism that humans expect from each other. We report two experiments showing that people expect other agents to selfishly maximize their pleasure, even when these other agents behave altruistically. Accordingly, defining utility as pleasure permits us to reconcile the assumption that humans expect each other to selfishly maximize utility with the fact that humans expect each other to behave altruistically.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
France 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 4 17%
Student > Bachelor 3 13%
Professor 2 9%
Student > Master 2 9%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Psychology 8 35%
Social Sciences 4 17%
Medicine and Dentistry 3 13%
Business, Management and Accounting 2 9%
Linguistics 1 4%
Other 1 4%
Unknown 4 17%