Doreen Jirak
Papers
12
Total Citations
354
H-Index
6
About
Doreen Jirak is a pioneering researcher at the intersection of human-robot interaction (HRI), embodied cognition, and neural computing, whose work has consistently pushed the boundaries of how machines perceive and respond to human behavior. Her most influential contribution, "Grasping Language – A Short Story on Embodiment" (2010, 177 citations), explores the deeply physical roots of language comprehension, establishing her as a prominent voice in embodied cognition research. Building on this foundation, Jirak has made substantial strides in affective computing, developing multimodal systems for emotional state recognition that enable robots to interpret human behavior more naturally—work that has garnered 83 citations and remains highly relevant to modern HRI design. Her technical expertise extends to gesture recognition, where she has pioneered neural architectures including the innovative Snapture framework and echo state network comparisons, enabling more intuitive human-machine communication. Jirak also investigates the social dynamics of robot presence, examining cognitive multitasking, affective state attribution, and expressive robot design—including a novel wire-driven eyebrow system for the iCub robot. Across more than a decade of research, her interdisciplinary contributions have shaped how robots sense, interpret, and meaningfully engage with the humans around them.
Research Focus
Key Achievements
Top Papers
- 1Grasping language – A short story on embodiment177 citations · 2010
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- 7On the Influence of Social Robots in Cognitive Multitasking4 citations · 2022
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- 9Potentials and Limitations of Deep Neural Networks for Cognitive Robots3 citations · 2018
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