Gabriel Ivucic
Papers
1
Total Citations
5
H-Index
1
About
Gabriel Ivucic is a researcher at the intersection of cognitive neuroscience and human-robot interaction, with a primary focus on how subtle behavioral and neural signals shape communication between humans and machines. His key research areas include electroencephalography (EEG) correlates of social cues, the role of hesitations and distractions in interactive learning, and the design of more intuitive robotic systems. In his most cited work, "EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study" (2023, 5 citations), Ivucic investigates how a robot's hesitations—traditionally seen as errors—might actually scaffold human comprehension, challenging conventional assumptions about fluency in interaction. By linking neural markers to behavioral responses, he demonstrates that certain disruptions can enhance listener engagement and understanding. This pilot study, part of the broader LabLinking initiative, has laid important groundwork for rethinking how robots can communicate more naturally and effectively. Ivucic’s work is notable for bridging cognitive science and robotics, offering fresh insights into designing machines that learn from and adapt to human cognitive rhythms.
Research Focus
Key Achievements
Top Papers
- 1