Repositori institucional URV
| Autor/es de la URV: | Heredia Santaella, Luis / Torrente Torné, Margarita / Vicens Calderón, Paloma |
| Autor según el artículo: | Ventura, David; Heredia, Luis; Torrente, Margarita; Vicens, Paloma |
| Direcció de correo del autor: | luis.heredia@urv.cat paloma.vicens@urv.cat luis.heredia@urv.cat margarita.torrente@urv.cat |
| Identificador del autor: | 0000-0001-9330-9418 0000-0003-0732-5070 0000-0001-9330-9418 0000-0002-8901-6345 |
| Año de publicación de la revista: | 2020 |
| Tipo de publicación: | Journal Publications |
| ISSN: | 0039-3320 |
| e-ISSN: | 2585-8815 |
| Referencia de l'ítem segons les normes APA: | Ventura, David; Heredia, Luis; Torrente, Margarita; Vicens, Paloma (2020). Automated emotional facial expression assessment and emotional elicitation through film clip stimuli. Studia Psychologica, 62(4), 350-363. DOI: 10.31577/SP.2020.04.809 |
| Referencia al articulo segun fuente origial: | Studia Psychologica. 62 (4): 350-363 |
| Resumen: | © 2020 Institute of Experimental Psychology, Centre of Social and Psychological Sciences, Slovak Academy of Sciences. All rights reserved. Numerous film clip databases are available for eliciting emotional states in humans. Some of the databases have been validated through self-reported questionnaires based on the discrete emotions perspective. In this study we analyzed some of these film clips using a software to assess emotional facial expression in humans. To do so, we selected 12 emotional stimuli (two for each emotion assessed). Other film clips containing basic mathematical operations were used as distractor stimuli. In total, 65 healthy volunteers participated in this study. We performed statistical analyses to compare differences in the discrete emotional intensities of each stimulus and compared these intensities with the distractor stimuli. Although the emotional facial recognition software was able to clearly detect discrete emotions for some stimuli (happiness and anger), some inconsistencies were found between previous self-reported emotional assessments studies and the data obtained with this software. Our results also showed that film clip stimuli present a complex emotional profile, making it difficult to classify them into discrete categories. Software to detect facial emotional expression may therefore be a useful tool for investigating emotions and the emotional profiles of film clip stimuli. However, further studies are needed to corroborate our results. |
| DOI del artículo: | 10.31577/SP.2020.04.809 |
| Enlace a la fuente original: | https://journals.savba.sk/index.php/studiapsychologica/article/view/38 |
| Versión del articulo depositado: | info:eu-repo/semantics/publishedVersion |
| Acceso a la licencia de uso: | https://creativecommons.org/licenses/by/3.0/es/ |
| Departamento: | Psicologia |
| URL Documento de licencia: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Áreas temáticas: | Psychology, multidisciplinary Psychology (miscellaneous) Psychology (all) Psychology Psicología Interdisciplinar General psychology Ciencias sociales |
| Palabras clave: | Film clips databases Facial recognition software Emotional elicitation Emotion |
| Entidad: | Universitat Rovira i Virgili |
| Fecha de alta del registro: | 2024-10-12 |
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