The computational role of jealous emotion has been proposed in a model of emotion, in which the desirable gain (or loss) is used as a measure for computing the emotional feedback that assesses the discrepancy between what an individual wants and gets. The jealous emotion is elicited when the perception that the other individuals have more than one has, or that the desire of wanting what others have, but cannot get. Such self-identified error measure is used as an internal measure to monitor the incongruence between model prediction and actual outcome, such that the accuracy of predictions by the brain can be assessed. Jealousy can serve as a motivating signal to an individual to self-correct errors that may exist. This error signal signifies the incongruence between the desirable and the actual outcomes. This (unhappy) jealous emotion provides the necessary feedback to self-correct any potential source of errors, which may originate from the errors in (input) perception, (output) execution or (internal) model. An ultimatum game (UG) paradigm is used to elicit self-generated emotion. Results showed that the emotional intensity of jealousy is inversely proportional to perceived gains (and proportional to the perceived losses). Subjective jealousy biases are represented by shifting of the emotional stimulus-response function. This suggested that jealousy can be resolved by correcting (1) the perception of unfairness (perceptual error), (2) wrong decision (execution error) and (3) faulty assumption of entitlement (model prediction error) in this experimental UG paradigm. The results confirmed the hypothesis that self-regulated jealousy is processed cognitively in proportional to the perceived loss, when one wants to gain something that one cannot get. Implications on emotional intelligence are also addressed.
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Psychology and Behavioral Sciences (Volume 3, Issue 6-1)
This article belongs to the Special Issue Behavioral Neuroscience |
| DOI | 10.11648/j.pbs.s.2014030601.11 |
| Page(s) | 1-7 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
Emotion, Jealousy, Fairness, Ultimatum Game, Decision Making, Error Minimization, Emotional Intelligence
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APA Style
Nicoladie D. Tam, Krista M. Smith. (2014). Cognitive Computation of Jealous Emotion. Psychology and Behavioral Sciences, 3(6-1), 1-7. https://doi.org/10.11648/j.pbs.s.2014030601.11
ACS Style
Nicoladie D. Tam; Krista M. Smith. Cognitive Computation of Jealous Emotion. Psychol. Behav. Sci. 2014, 3(6-1), 1-7. doi: 10.11648/j.pbs.s.2014030601.11
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Download@article{10.11648/j.pbs.s.2014030601.11,
author = {Nicoladie D. Tam and Krista M. Smith},
title = {Cognitive Computation of Jealous Emotion},
journal = {Psychology and Behavioral Sciences},
volume = {3},
number = {6-1},
pages = {1-7},
doi = {10.11648/j.pbs.s.2014030601.11},
url = {https://doi.org/10.11648/j.pbs.s.2014030601.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.s.2014030601.11},
abstract = {The computational role of jealous emotion has been proposed in a model of emotion, in which the desirable gain (or loss) is used as a measure for computing the emotional feedback that assesses the discrepancy between what an individual wants and gets. The jealous emotion is elicited when the perception that the other individuals have more than one has, or that the desire of wanting what others have, but cannot get. Such self-identified error measure is used as an internal measure to monitor the incongruence between model prediction and actual outcome, such that the accuracy of predictions by the brain can be assessed. Jealousy can serve as a motivating signal to an individual to self-correct errors that may exist. This error signal signifies the incongruence between the desirable and the actual outcomes. This (unhappy) jealous emotion provides the necessary feedback to self-correct any potential source of errors, which may originate from the errors in (input) perception, (output) execution or (internal) model. An ultimatum game (UG) paradigm is used to elicit self-generated emotion. Results showed that the emotional intensity of jealousy is inversely proportional to perceived gains (and proportional to the perceived losses). Subjective jealousy biases are represented by shifting of the emotional stimulus-response function. This suggested that jealousy can be resolved by correcting (1) the perception of unfairness (perceptual error), (2) wrong decision (execution error) and (3) faulty assumption of entitlement (model prediction error) in this experimental UG paradigm. The results confirmed the hypothesis that self-regulated jealousy is processed cognitively in proportional to the perceived loss, when one wants to gain something that one cannot get. Implications on emotional intelligence are also addressed.},
year = {2014}
}
TY - JOUR T1 - Cognitive Computation of Jealous Emotion AU - Nicoladie D. Tam AU - Krista M. Smith Y1 - 2014/12/31 PY - 2014 N1 - https://doi.org/10.11648/j.pbs.s.2014030601.11 DO - 10.11648/j.pbs.s.2014030601.11 T2 - Psychology and Behavioral Sciences JF - Psychology and Behavioral Sciences JO - Psychology and Behavioral Sciences SP - 1 EP - 7 PB - Science Publishing Group SN - 2328-7845 UR - https://doi.org/10.11648/j.pbs.s.2014030601.11 AB - The computational role of jealous emotion has been proposed in a model of emotion, in which the desirable gain (or loss) is used as a measure for computing the emotional feedback that assesses the discrepancy between what an individual wants and gets. The jealous emotion is elicited when the perception that the other individuals have more than one has, or that the desire of wanting what others have, but cannot get. Such self-identified error measure is used as an internal measure to monitor the incongruence between model prediction and actual outcome, such that the accuracy of predictions by the brain can be assessed. Jealousy can serve as a motivating signal to an individual to self-correct errors that may exist. This error signal signifies the incongruence between the desirable and the actual outcomes. This (unhappy) jealous emotion provides the necessary feedback to self-correct any potential source of errors, which may originate from the errors in (input) perception, (output) execution or (internal) model. An ultimatum game (UG) paradigm is used to elicit self-generated emotion. Results showed that the emotional intensity of jealousy is inversely proportional to perceived gains (and proportional to the perceived losses). Subjective jealousy biases are represented by shifting of the emotional stimulus-response function. This suggested that jealousy can be resolved by correcting (1) the perception of unfairness (perceptual error), (2) wrong decision (execution error) and (3) faulty assumption of entitlement (model prediction error) in this experimental UG paradigm. The results confirmed the hypothesis that self-regulated jealousy is processed cognitively in proportional to the perceived loss, when one wants to gain something that one cannot get. Implications on emotional intelligence are also addressed. VL - 3 IS - 6-1 ER -
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