Stefan Scherer

Universität Ulm, Creative Technologies (United States)

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About

Stefan Scherer is a leading researcher in affective computing and multimodal interaction, with a focus on understanding human behavior through nonverbal cues. His work bridges computer vision, speech processing, and social robotics to detect and interpret emotions, laughter, and even bullying behaviors. In his highly cited 2009 paper, "Multimodal Laughter Detection in Natural Discourses" (31 citations), Scherer pioneered methods for automatically recognizing laughter in spontaneous, real-world conversations by integrating audio and visual signals—a foundational contribution to social signal processing. More recently, he has applied gesture recognition to socially impactful domains, as in his 2017 study "Comparing models for gesture recognition of children's bullying behaviors" (5 citations), where he developed a humanoid robot capable of identifying physical bullying gestures and responding with educational interventions. This work exemplifies his commitment to translating computational models into real-world applications for child safety and social skill development. Scherer’s research consistently emphasizes ecological validity, using naturalistic datasets and interactive robots to push the boundaries of how machines perceive and respond to human social dynamics.