Doris Pischedda

Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience Berlin

Papers

Total Citations

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About

Doris Pischedda is a pioneering researcher at the intersection of robotics, neuroscience, and psychology, whose work explores how humans and robots can communicate and collaborate more naturally. Her key research areas include human-robot interaction, verbal communication in social robotics, and the cognitive mechanisms underlying joint action, particularly co-representation—the process by which individuals mentally simulate a partner’s actions during cooperative tasks. In her most-cited work (2021, 15 citations), Pischedda demonstrated that robots can facilitate human language production, revealing that people co-represent robotic partners similarly to human ones, a finding with profound implications for designing intuitive social robots. Her highly interdisciplinary approach is showcased in a 2021 paper (11 citations) that distills lessons from integrating robotics, neuroscience, and psychology, offering a roadmap for future collaborative research. Additionally, her 2020 paper (10 citations) critically reviews the state-of-the-art in modeling robot co-representation and proposes predictive learning as a framework to make robots more predictable and socially adept. Pischedda’s work is notable for bridging cognitive science and engineering, advancing our understanding of how humans perceive and interact with artificial agents, and laying groundwork for robots that can genuinely engage in natural social exchanges.