Eszter Strupka

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About

Eszter Strupka is a researcher at the intersection of human-robot interaction (HRI) and sociophonetics, whose work explores how social dynamics shape communication with machines. Her key research areas include prosodic entrainment—the unconscious alignment of speech patterns—and the influence of gender on human-robot dialogue. In her most-cited paper, "Influence of Robot Gender and Speaker Gender on Prosodic Entrainment in HRI" (2017, 25 citations), Strupka demonstrated that both a robot’s perceived gender and a human speaker’s gender significantly affect how speakers adapt their pitch, rhythm, and volume during interaction. This contribution is foundational for designing more natural and socially aware robots, revealing that even subtle cues like vocal gender can alter engagement and trust. By bridging linguistics and robotics, Strupka’s work has informed the development of adaptive voice interfaces and socially assistive technologies. Her findings underscore the importance of inclusive design in AI, showing that robots must account for user diversity to foster effective communication. With growing interest in empathetic and personalized HRI, Strupka’s research continues to influence how we build machines that truly listen.