My research interests lie in the domain of emotion and facial expression. Much of my work is concerned with the empirical investigation of the socio-cognitive and affective processes in human perception and behaviour. This includes research on the movement dynamics including morphological features and their role in emotion interpretation. More recently, I started to explore commonalities and differences in human and machine classification, with a particular focus on the methodological aspects in emotion expression elicitation. Other research interests relate to the general area of social perception and attribution, particularly social psychological aspects of face perception and various factors that moderate people’s judgements. These concern (a) attributes of the stimulus target such as the type of expression, the ethnicity of the face, and the presence of contextual cues, as well as (b) attributes of the perceiver such as empathic ability, stereotypes, and racial bias.
26 Bedford Way
On the web
- Decoding of facial expressions of pain in avatars: Does sex matter? Scandinavian Journal of Pain DOI: 10.1515/sjpain-2020-0078
- A Novel Test of the Duchenne Marker: Smiles After Botulinum Toxin Treatment for Crow’s Feet Wrinkles Frontiers in Psychology, 11 DOI: 10.3389/fpsyg.2020.612654
- How humans and machines classify spontaneous and posed expressions of emotion Transactions of the Japanese Society for Artificial Intelligence, 36, 28-33
- View all publications by Eva Krumhuber