Enes Yigitbas
Papers
5
Total Citations
36
H-Index
3
About
Enes Yigitbas is a researcher specializing in human-computer interaction, augmented and virtual reality, end-user development, and robot programming accessibility. His work sits at a compelling intersection of emerging immersive technologies and usability, with a particular focus on democratizing complex technical tasks for non-expert users. Most notably, Yigitbas has pioneered approaches that leverage augmented reality to simplify robot programming — a domain traditionally reserved for highly skilled professionals — making it accessible to everyday users without specialist knowledge. His most cited work, "Simplifying Robot Programming Using Augmented Reality and End-User Development" (2021, 20 citations), has established him as a recognized voice in this growing field. Complementing this, his research on AR-assisted path planning strategies and digital twin integration further advances intuitive human-robot interaction paradigms. Yigitbas also investigates adaptive systems and virtual reality interfaces, exploring how human-in-the-loop approaches and automated UX evaluation can improve user-centered design. Collectively, his contributions reflect a coherent research vision: making sophisticated technological systems more transparent, controllable, and accessible through thoughtful interface design and emerging immersive technologies.
Research Focus
Key Achievements
Top Papers
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- 3Automated UX Evaluation for User-Centered Design of VR Interfaces3 citations · 2022
- 4
- 5Enhancing Robot Programming through Digital Twin and Augmented Reality2 citations · 2023