Papers
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Total Citations
3
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About
Yuliia Kobryn is a researcher at the intersection of cognitive neuroscience and human-robot interaction, specializing in the methodological design of real-world neurobehavioral studies. Her most cited work, "Methodological Design for Integration of Human EEG Data with Behavioral Analyses into Human-Human/Robot Interactions in a Real-World Context" (2019), presents a pioneering framework for synchronizing electroencephalography (EEG) recordings with behavioral metrics during naturalistic social exchanges. This contribution addresses a critical gap in ecological validity, enabling researchers to capture neural dynamics in authentic human-human and human-robot settings rather than constrained laboratory environments. While her citation count (3) reflects the emerging nature of this field, the work has been recognized by an international audience for its practical guidance in designing complex multimodal experiments. Kobryn’s approach bridges engineering, psychology, and robotics, offering a replicable template for studying social cognition in contexts ranging from collaborative tasks to assistive technology. Her research holds particular promise for advancing adaptive robotic systems that respond to human neural and behavioral cues in real time.
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