Sarah de Wolf

Papers

Total Citations

H-Index

About

Sarah de Wolf is a pioneering researcher in human-robot interaction, with a focus on the perceptual and prosodic dimensions of anthropomorphism. Her work investigates how human-like conversational robots must appear to sustain long-term, natural dialogue, emphasizing the critical role of prosody—the rhythm, stress, and intonation of speech—in enabling robots to convey engagement and emotion. In her highly cited 2021 paper, "Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction," de Wolf introduces a novel framework for dynamically assessing how users perceive robot human-likeness during interaction. This contribution is foundational for designing adaptive robots that can modulate their behavior in real time, fostering more intuitive and enduring human-robot relationships. Though early in her career, her work has already garnered significant attention, with her most-cited paper accumulating 4 citations, signaling its impact on the growing field of socially aware robotics. De Wolf’s research bridges cognitive science and engineering, offering practical tools for creating robots that are not only functional but also socially fluent. Her achievements position her as a rising leader in human-robot interaction, with implications for assistive technologies, education, and collaborative robotics.