dc.contributor.author | Fernandes-Magalhaes, Roberto | |
dc.contributor.author | Carpio, Alberto | |
dc.contributor.author | Ferrera, David | |
dc.contributor.author | Ryckeghem, Dimitri Van | |
dc.contributor.author | Peláez, Irene | |
dc.contributor.author | Barjola, Paloma | |
dc.contributor.author | Lahoz, María Eugenia De | |
dc.contributor.author | Martín-Buro, María Carmen | |
dc.contributor.author | Hinojosa, José Antonio | |
dc.contributor.author | Damme, Stefaan Van | |
dc.contributor.author | Carretié, Luis | |
dc.contributor.author | Mercado, Francisco | |
dc.date.accessioned | 2023-09-20T07:55:30Z | |
dc.date.available | 2023-09-20T07:55:30Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Fernandes-Magalhaes, R., Carpio, A., Ferrera, D. et al. Pain E-motion Faces Database (PEMF): Pain-related micro-clips for emotion research. Behav Res (2022). https://doi.org/10.3758/s13428-022-01992-4 | es |
dc.identifier.issn | 1554-3528 | |
dc.identifier.uri | https://hdl.handle.net/10115/24399 | |
dc.description | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by grants PID2020-115463RB-I00 from the Ministerio de Ciencia e Innovación of Spain and SAPIENTIA-CM H2019/HUM-5705 of the Comunidad de Madrid. | es |
dc.description.abstract | A large number of publications have focused on the study of pain expressions. Despite the growing knowledge, the availability of pain-related face databases is still very scarce compared with other emotional facial expressions. The Pain E-Motion
Faces Database (PEMF) is a new open-access database currently consisting of 272 micro-clips of 68 diferent identities.
Each model displays one neutral expression and three pain-related facial expressions: posed, spontaneous-algometer and
spontaneous-CO2 laser. Normative ratings of pain intensity, valence and arousal were provided by students of three diferent
European universities. Six independent coders carried out a coding process on the facial stimuli based on the Facial Action
Coding System (FACS), in which ratings of intensity of pain, valence and arousal were computed for each type of facial
expression. Gender and age efects of models across each type of micro-clip were also analysed. Additionally, participants’
ability to discriminate the veracity of pain-related facial expressions (i.e., spontaneous vs posed) was explored. Finally, a
series of ANOVAs were carried out to test the presence of other basic emotions and common facial action unit (AU) patterns. The main results revealed that posed facial expressions received higher ratings of pain intensity, more negative valence
and higher arousal compared with spontaneous pain-related and neutral faces. No diferential efects of model gender were
found. Participants were unable to accurately discriminate whether a given pain-related face represented spontaneous or
posed pain. PEMF thus constitutes a large open-source and reliable set of dynamic pain expressions useful for designing
experimental studies focused on pain processes. | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Pain-related faces | es |
dc.subject | Emotional expressions | es |
dc.subject | Database | es |
dc.title | Pain E-motion Faces Database (PEMF): Pain-related micro-clips for emotion research | es |
dc.type | info:eu-repo/semantics/article | es |
dc.identifier.doi | 10.3758/s13428-022-01992-4 | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |