Ipek Goktan
Papers
2
Total Citations
6
H-Index
2
About
Ipek Goktan is a rising researcher at the intersection of human-robot interaction (HRI), augmented reality (AR), and educational technology. Her work focuses on designing novel interfaces that make robots more expressive and accessible, particularly for learning environments. In her highly cited 2023 paper, "MoveToCode," Goktan introduced an embodied AR visual programming language paired with an autonomous robot tutor. This system leverages socially assistive robotics and mixed reality to boost student programming curiosity, representing a pioneering effort to bring VAM-HRI advances into educational settings. Her 2022 study on "Augmented Reality Appendages for Robots" systematically explores how AR visualizations can overcome physical robots' gestural limitations, offering design recommendations to enhance social presence and functional perception. While early in her career, Goktan’s work has already garnered attention for its innovative integration of virtual elements with physical robotics. Her contributions are shaping how robots can better communicate and teach, laying groundwork for more intuitive, engaging human-robot collaboration in classrooms and beyond.
Research Focus
Key Achievements
Top Papers
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