Felix Friese

Papers

Total Citations

H-Index

About

Felix Friese’s research lies at the intersection of human-robot interaction (HRI) and mixed reality, with a focus on making mobile robots more accessible to non-expert users. His work addresses a critical challenge: as robots enter everyday environments like shopping malls, airports, and nursing homes, they are often operated by staff with no technical background. Friese’s major contribution is developing intuitive interfaces—such as Mixed Reality techniques—that bridge the gap between user expectations and robot capabilities, reducing frustration and fostering acceptance. His most-cited paper, “Facilitating HRI by Mixed Reality Techniques” (2018, 7 citations), explores how augmented visualizations can guide operators in real time. A follow-up work, “WYSIWICD” (2018, 4 citations), further investigates how false expectations about robot autonomy can lead to disappointment, proposing design principles to align user mental models with actual system behavior. Though early in his career, Friese’s focus on usability and trust in HRI is increasingly relevant as service robots become commonplace. His work is a valuable resource for students and researchers interested in designing human-centered robotic systems that are truly ready for the real world.