Learning of facial responses to faces associated with positive or negative emotional expressions

Autor: Francisco J. Román, Teresa Diéguez-Risco, Verónica Romero-Ferreiro, Sonia Rodríguez, Luis Aguado, María Fernández-Cahill
Přispěvatelé: UAM. Departamento de Psicología Biológica y de la Salud
Rok vydání: 2013
Předmět:
Zdroj: Biblos-e Archivo. Repositorio Institucional de la UAM
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ISSN: 2006-0157
Popis: Subject to file availability and provided the posting includes a prominent statement of the full bibliographical details, a copyright notice in the name of the copyright holder (Cambridge University Press or the sponsoring Society, as appropriate), and a link to the online edition of the journal at Cambridge Journals Online.
The possibility that facial expressions of emotion change the affective valence of faces through associative learning was explored using facial electromyography (EMG). In Experiment 1, EMG activity was registered while the participants (N = 57) viewed sequences of neutral faces (Stimulus 1 or S1) changing to either a happy or an angry expression (Stimulus 2 or S2). As a consequence of learning, participants who showed patterning of facial responses in the presence of angry and happy faces, that is, higher Corrugator Supercilii (CS) activity in the presence of angry faces and higher Zygomaticus Major (ZM) activity in the presence of happy faces, showed also a similar pattern when viewing the corresponding S1 faces. Explicit evaluations made by an independent sample of participants (Experiment 2) showed that evaluation of S1 faces was changed according to the emotional expression with which they had been associated. These results are consistent with an interpretation of rapid facial reactions to faces as affective responses that reflect the valence of the stimulus and that are sensitive to learned changes in the affective meaning of faces.
This work was supported by Project SEJ2006-01576/PSIC, from the Spanish Ministerio de Ciencia y Tecnología. The participation of Francisco J. Román has been possible thanks to a FPI Grant (PSI2010- 20364) from the Spanish Ministerio de Ciencia y Tecnología.
Databáze: OpenAIRE