Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process

Empathy allows us to respond to the emotional state of another person. Considering that an empathic interaction may last beyond the initial response, learning mechanisms may be involved in dynamic adaptation of the reaction to the changing emotional state of the other person. However, traditionally,...

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Main Authors: Elena Kozakevich Arbel, Simone G. Shamay-Tsoory, Uri Hertz
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.706474/full
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spelling doaj-8c47bb58370e475c9bddfdbec42236282021-07-22T10:39:39ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-07-011210.3389/fpsyt.2021.706474706474Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning ProcessElena Kozakevich Arbel0Simone G. Shamay-Tsoory1Simone G. Shamay-Tsoory2Uri Hertz3Uri Hertz4Department of Psychology, University of Haifa, Haifa, IsraelDepartment of Psychology, University of Haifa, Haifa, IsraelIntegrated Brain and Behavior Research Center, Haifa, IsraelIntegrated Brain and Behavior Research Center, Haifa, IsraelDepartment of Cognitive Sciences, University of Haifa, Haifa, IsraelEmpathy allows us to respond to the emotional state of another person. Considering that an empathic interaction may last beyond the initial response, learning mechanisms may be involved in dynamic adaptation of the reaction to the changing emotional state of the other person. However, traditionally, empathy is assessed through sets of isolated reactions to another's distress. Here we address this gap by focusing on adaptive empathy, defined as the ability to learn and adjust one's empathic responses based on feedback. For this purpose, we designed a novel paradigm of associative learning in which participants chose one of two empathic strategies (reappraisal or distraction) to attenuate the distress of a target person, where one strategy had a higher probability of relieving distress. After each choice, participants received feedback about the success of their chosen strategy in relieving the target person's distress, which they could use to inform their future decisions. The results show that the participants made more accurate choices in the adaptive empathy condition than in a non-social control condition, pointing to an advantage for learning from social feedback. We found a correlation between adaptive empathy and a trait measure of cognitive empathy. These findings indicate that the ability to learn about the effectiveness of empathic responses may benefit from incorporating mentalizing abilities. Our findings provide a lab-based model for studying adaptive empathy and point to the potential contribution of learning theory to enhancing our understanding of the dynamic nature of empathy.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.706474/fullempathycognitive empathyonline simulationsocial cognitionlearningreward
collection DOAJ
language English
format Article
sources DOAJ
author Elena Kozakevich Arbel
Simone G. Shamay-Tsoory
Simone G. Shamay-Tsoory
Uri Hertz
Uri Hertz
spellingShingle Elena Kozakevich Arbel
Simone G. Shamay-Tsoory
Simone G. Shamay-Tsoory
Uri Hertz
Uri Hertz
Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process
Frontiers in Psychiatry
empathy
cognitive empathy
online simulation
social cognition
learning
reward
author_facet Elena Kozakevich Arbel
Simone G. Shamay-Tsoory
Simone G. Shamay-Tsoory
Uri Hertz
Uri Hertz
author_sort Elena Kozakevich Arbel
title Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process
title_short Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process
title_full Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process
title_fullStr Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process
title_full_unstemmed Adaptive Empathy: Empathic Response Selection as a Dynamic, Feedback-Based Learning Process
title_sort adaptive empathy: empathic response selection as a dynamic, feedback-based learning process
publisher Frontiers Media S.A.
series Frontiers in Psychiatry
issn 1664-0640
publishDate 2021-07-01
description Empathy allows us to respond to the emotional state of another person. Considering that an empathic interaction may last beyond the initial response, learning mechanisms may be involved in dynamic adaptation of the reaction to the changing emotional state of the other person. However, traditionally, empathy is assessed through sets of isolated reactions to another's distress. Here we address this gap by focusing on adaptive empathy, defined as the ability to learn and adjust one's empathic responses based on feedback. For this purpose, we designed a novel paradigm of associative learning in which participants chose one of two empathic strategies (reappraisal or distraction) to attenuate the distress of a target person, where one strategy had a higher probability of relieving distress. After each choice, participants received feedback about the success of their chosen strategy in relieving the target person's distress, which they could use to inform their future decisions. The results show that the participants made more accurate choices in the adaptive empathy condition than in a non-social control condition, pointing to an advantage for learning from social feedback. We found a correlation between adaptive empathy and a trait measure of cognitive empathy. These findings indicate that the ability to learn about the effectiveness of empathic responses may benefit from incorporating mentalizing abilities. Our findings provide a lab-based model for studying adaptive empathy and point to the potential contribution of learning theory to enhancing our understanding of the dynamic nature of empathy.
topic empathy
cognitive empathy
online simulation
social cognition
learning
reward
url https://www.frontiersin.org/articles/10.3389/fpsyt.2021.706474/full
work_keys_str_mv AT elenakozakevicharbel adaptiveempathyempathicresponseselectionasadynamicfeedbackbasedlearningprocess
AT simonegshamaytsoory adaptiveempathyempathicresponseselectionasadynamicfeedbackbasedlearningprocess
AT simonegshamaytsoory adaptiveempathyempathicresponseselectionasadynamicfeedbackbasedlearningprocess
AT urihertz adaptiveempathyempathicresponseselectionasadynamicfeedbackbasedlearningprocess
AT urihertz adaptiveempathyempathicresponseselectionasadynamicfeedbackbasedlearningprocess
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