Oliver Damm
Papers
9
Total Citations
80
H-Index
5
About
Oliver Damm's research lies at the intersection of social robotics, human-robot interaction, and affective computing, with a particular focus on how robots can understand, express, and align with human emotions. His most influential work, "Different gaze behavior in human-robot interaction in Asperger's syndrome: An eye-tracking study" (43 citations), pioneered the use of social robots in therapeutic contexts for individuals with Autism Spectrum Disorder, revealing critical differences in how ASD patients engage with robots versus human actors. Damm's major contribution is his development of a computational model of emotional alignment, which argues that effective human-robot interaction requires robots to dynamically adapt their emotional expressions to match their human partners—a concept he has explored across multiple publications. His work challenges traditional intrapersonal models of emotion, advocating instead for interpersonal, communicational approaches that consider situational context. Through demonstrations using the Flobi robot head and theoretical papers on emotional congruence, Damm has helped establish the foundational principles for creating socially competent robots capable of natural, intuitive emotional interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2A computational model of emotional alignment8 citations · 2011
- 3The role of emotional congruence in human-robot interaction7 citations · 2013
- 4Communicating emotions6 citations · 2014
- 5The role of emotional congruence in human-robot interaction5 citations · 2013
- 6
- 7
- 8Applications for emotional robots2 citations · 2014
- 9Demonstration of emotion modeling using Flobi1 citations · 2014