Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/121611
Título: | Selective eye fixations on diagnostic face regions of dynamic emotional expressions: KDEF-dyn database | Autores/as: | Calvo, Manuel G. Fernández Martín, Andrés Gutiérrez-García, Aida Lundqvist, Daniel |
Fecha de publicación: | 2018 | Publicación seriada: | Scientific Reports | Resumen: | Prior research using static facial stimuli (photographs) has identified diagnostic face regions (i.e., functional for recognition) of emotional expressions. In the current study, we aimed to determine attentional orienting, engagement, and time course of fixation on diagnostic regions. To this end, we assessed the eye movements of observers inspecting dynamic expressions that changed from a neutral to an emotional face. A new stimulus set (KDEF-dyn) was developed, which comprises 240 video-clips of 40 human models portraying six basic emotions (happy, sad, angry, fearful, disgusted, and surprised). For validation purposes, 72 observers categorized the expressions while gaze behavior was measured (probability of first fixation, entry time, gaze duration, and number of fixations). Specific visual scanpath profiles characterized each emotional expression: The eye region was looked at earlier and longer for angry and sad faces; the mouth region, for happy faces; and the nose/cheek region, for disgusted faces; the eye and the mouth regions attracted attention in a more balanced manner for surprise and fear. These profiles reflected enhanced selective attention to expression-specific diagnostic face regions. The KDEF-dyn stimuli and the validation data will be available to the scientific community as a useful tool for research on emotional facial expression processing. | URI: | http://hdl.handle.net/10553/121611 | ISSN: | 2045-2322 | DOI: | 10.1038/s41598-018-35259-w | Fuente: | Scientific Reports [ISSN 2045-2322], v. 8, 17039, (2018) |
Colección: | Artículos |
Citas SCOPUSTM
47
actualizado el 17-nov-2024
Citas de WEB OF SCIENCETM
Citations
49
actualizado el 17-nov-2024
Visitas
16
actualizado el 14-oct-2023
Descargas
2
actualizado el 14-oct-2023
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.