Nicolas Murset

FHNW University of Applied Sciences and Arts

Papers

Total Citations

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About

Nicolas Murset is a researcher in human-robot interaction, with a focus on the social and psychological factors that shape how people perceive and engage with robots. His work centers on understanding robot likeability—a critical element for successful human-robot collaboration. In his most-cited study, "Exploring Variables That Affect Robot Likeability" (2022, 8 citations), Murset investigates how anthropomorphism, voice, gestures, and approaching behavior influence a robot’s social appeal, drawing parallels to human-human interaction. This research provides foundational insights for designing robots that are not only functional but also socially accepted and preferred. By identifying key design variables that enhance likeability, Murset contributes to the development of more intuitive and engaging robotic systems, with implications for service, healthcare, and companion robots. His work underscores the importance of social cues in technology, helping bridge the gap between engineering and human psychology. Murset’s findings offer practical guidance for roboticists and interaction designers aiming to create robots that people genuinely enjoy interacting with.