A structural model of emotions of cognitive dissonances


Autoria(s): Fontanari, Jose Fernando; Bonniot-Cabanac, Marie-Claude; Cabanac, Michel; Perlovsky, Leonid I.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

30/10/2013

30/10/2013

2012

Resumo

Cognitive dissonance is the stress that comes from holding two conflicting thoughts simultaneously in the mind, usually arising when people are asked to choose between two detrimental or two beneficial options. In view of the well-established role of emotions in decision making, here we investigate whether the conventional structural models used to represent the relationships among basic emotions, such as the Circumplex model of affect, can describe the emotions of cognitive dissonance as well. We presented a questionnaire to 34 anonymous participants, where each question described a decision to be made among two conflicting motivations and asked the participants to rate analogically the pleasantness and the intensity of the experienced emotion. We found that the results were compatible with the predictions of the Circumplex model for basic emotions. (C) 2012 Elsevier Ltd. All rights reserved.

Southern Office of Aerospace Research and Development (SOARD) [FA9550-10-1-0006]

Southern Office of Aerospace Research and Development (SOARD)

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)

Identificador

NEURAL NETWORKS, OXFORD, v. 32, n. 1, Special Issue, supl. 4, Part 1-2, pp. 57-64, AUG, 2012

0893-6080

http://www.producao.usp.br/handle/BDPI/36844

10.1016/j.neunet.2012.04.007

http://dx.doi.org/10.1016/j.neunet.2012.04.007

Idioma(s)

eng

Publicador

PERGAMON-ELSEVIER SCIENCE LTD

OXFORD

Relação

NEURAL NETWORKS

Direitos

closedAccess

Copyright PERGAMON-ELSEVIER SCIENCE LTD

Palavras-Chave #MEASURE OF EMOTIONS #COGNITIVE DISSONANCE #FREE-CHOICE PARADIGM #CIRCUMPLEX MODEL #PLEASURE #DECISION-MAKING SITUATIONS #NEURAL DYNAMICS #FREE-CHOICE #PLEASURE #ALTERNATIVES #COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE #NEUROSCIENCES
Tipo

article

original article

publishedVersion