• Medientyp: E-Book; Hochschulschrift
  • Titel: Emotion recognition from expressions in voice and face – Behavioral and Endocrinological evidence –
  • Beteiligte: Lausen, Adi [Verfasser:in]; Schacht, Annekathrin [Akademische:r Betreuer:in]; Schacht, Annekathrin [Akademische:r Betreuer:in]; Hammerschmidt, Kurt [Akademische:r Betreuer:in]
  • Erschienen: Göttingen, 2019
  • Umfang: 1 Online-Ressource; Illustrationen, Diagramme
  • Sprache: Englisch
  • Identifikator:
  • Schlagwörter: Gefühl > Erkennen
  • Entstehung:
  • Hochschulschrift: Dissertation, Georg-August-Universität Göttingen, 2019
  • Anmerkungen:
  • Beschreibung: Emotion recognition is a key component of human social cognition and is considered vital for many domains of life. Studies measuring this ability have documented that performance accuracy in emotion recognition tasks is affected by various factors, ranging from gender, one’s own confidence, hormonal fluctuations, to the modality of stimulus presentation (i.e., audio, visual). The majority of work has focused on the recognition of facial expressions. The results from the small amount of studies that made comparisons across the modalities of vocal and facial emotion recognition are contradict...
  • Zugangsstatus: Freier Zugang