Koby Karp

Institut Systèmes Intelligents et de Robotique

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About

Koby Karp is a researcher whose work lies at the intersection of human-computer interaction, behavioral analysis, and machine learning, with a particular focus on automatic imitation assessment. His most-cited paper, "Automatic Imitation Assessment in Interaction" (2012), has garnered 21 citations and stands as a foundational contribution to the field. In this work, Karp pioneered computational methods for detecting and evaluating imitation in social interactions—a key component of rapport, learning, and therapeutic contexts. By developing algorithms that automatically analyze subtle behavioral cues, he enabled objective, scalable measurement of imitation, moving beyond subjective human observation. This contribution has implications for autism research, social robotics, and virtual training environments, where understanding and fostering imitation is critical. Karp’s work is notable for bridging cognitive science and engineering, offering tools that enhance both theoretical understanding and practical applications. His research continues to influence studies on non-verbal communication and adaptive systems, marking him as a thoughtful contributor to the growing field of computational social science.