Jennifer C. Swoboda

Papers

Total Citations

H-Index

About

Jennifer C. Swoboda’s research lies at the intersection of human-robot interaction and communication design, with a focus on how operators can most effectively guide autonomous systems. Her most cited work, “The Effects of Communication Style on Robot Navigation Performance” (2009, 15 citations), is a foundational study that explores how different verbal and manual input styles influence a robot’s ability to navigate complex environments. Using a “Wizard of Oz” paradigm, Swoboda demonstrated that the way humans speak or command robots—whether through structured commands or natural language—directly impacts navigation efficiency and error rates. This contribution has shaped subsequent research in speech-driven robotics and user interface design, highlighting the critical role of communication modality in operational success. While her citation count reflects a focused, early-career impact, Swoboda’s work is notable for its practical implications: it informs how engineers design more intuitive control systems for search-and-rescue, manufacturing, and assistive robotics. Her study remains a key reference for researchers exploring the balance between human cognitive load and robotic autonomy, making her a thoughtful voice in the evolving field of collaborative human-machine teams.