Emotion identification across adulthood using the Dynamic FACES database of emotional expressions in younger, middle aged, and older adults.

ABSTRACT: Facial stimuli are widely used in behavioural and brain science research to investigate emotional facial processing. However, some studies have demonstrated that dynamic expressions elicit stronger emotional responses compared to static images. To address the need for more ecologically valid and powerful facial emotional stimuli, we created Dynamic FACES, a database of morphed videos (n = 1026) from younger, middle-aged, and older adults displaying naturalistic emotional facial expressions (neutrality, sadness, disgust, fear, anger, happiness). To assess adult age differences in emotion identification of dynamic stimuli and to provide normative ratings for this modified set of stimuli, healthy adults (n = 1822, age range 18-86 years) categorised for each video the emotional expression disp

SUBMITTER: Holland CAC 

PROVIDER: S-EPMC6599511 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature