Stefan Wagner
Papers
2
Total Citations
50
H-Index
2
About
Stefan Wagner is a researcher whose work sits at the intersection of human-robot interaction, assistive technology, and adaptive communication systems. His research focuses primarily on socially assistive robots designed to support elderly and health-dependent users in domestic environments — a field of growing relevance as aging populations increasingly seek technological solutions to maintain independence. Wagner's most notable contribution is his investigation into adaptive linguistic styles for robotic health companions, exploring how robots can adjust their verbal communication based on explicit human feedback to create more natural and effective interactions. His 2019 paper on this topic has garnered 41 citations, reflecting meaningful recognition within the human-robot interaction community. Complementing this work, his research into usability and user feedback methodologies provides practical frameworks for evaluating how real users experience and respond to socially assistive robots. Together, these contributions advance our understanding of how spoken language serves as a critical interface between humans and robots, and how personalizing that interface can meaningfully improve user experience. Wagner's work is particularly valuable for researchers and developers working to bring empathetic, responsive robotic companions from prototype to real-world consumer applications.
Research Focus
Key Achievements
Top Papers
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- 2