Eva Krumhuber
Dr Eva Krumhuber is associate professor in the Department of Experimental Psychology at University College London. Her research investigates the social psychological aspects of face perception and various factors that moderate people’s judgments. Eva obtained her PhD degree in social psychology from Cardiff University for which she won the Hadyn Ellis Prize for Outstanding Dissertation. Subsequent postdoctoral work in Switzerland and Germany led to the development of new animation software for an award-winning market research project, as well as technological applications to aid cultural understanding and empathy in children and young adults. Besides her contributions to psychology, her research has proven relevant in industry for the successful modelling of emotions in virtual characters, also being commercially used by the film and video games industry. Eva has published widely within the field of psychology and computer science, and serves as an ad-hoc reviewer for more than 50 academic journals. She is an editorial board member at Cognition & Emotion, and acts as Associate Editor at the Journal of Nonverbal Behavior.
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Papers by Eva Krumhuber
much of a person’s emotions and intentions. Although animation techniques have
become more sophisticated over time, there is still need for knowledge in terms of
what behavior appears emotionally convincing and believable. The present chapter
examines how motion contributes to the perception and interpretation of facial
expressions. This includes a description of the early beginnings in research on
facial motion and more recent work, pointing toward a dynamic advantage in
facial expression recognition. Attention is further drawn to the potential characteristics
(i.e., directionality and speed) that facilitate such dynamic advantage.
This is followed by a review on how facial motion affects perception and behavior more generally, with the neural systems that underlie the processing of
dynamic emotions. The chapter concludes by discussing remaining challenges
and future directions for the animation of natural occurring emotional expressions
in dynamic faces.
much of a person’s emotions and intentions. Although animation techniques have
become more sophisticated over time, there is still need for knowledge in terms of
what behavior appears emotionally convincing and believable. The present chapter
examines how motion contributes to the perception and interpretation of facial
expressions. This includes a description of the early beginnings in research on
facial motion and more recent work, pointing toward a dynamic advantage in
facial expression recognition. Attention is further drawn to the potential characteristics
(i.e., directionality and speed) that facilitate such dynamic advantage.
This is followed by a review on how facial motion affects perception and behavior more generally, with the neural systems that underlie the processing of
dynamic emotions. The chapter concludes by discussing remaining challenges
and future directions for the animation of natural occurring emotional expressions
in dynamic faces.