Antonia Glaser

Papers

Total Citations

H-Index

About

Antonia Glaser is a leading researcher in human-robot interaction (HRI), with a core focus on developing robust communication frameworks for robots operating in noisy, real-world environments. Her most influential work, "Dialog strategies for handling miscommunication in task-related HRI" (2011, 6 citations), addresses a critical bottleneck in HRI: how robots can effectively retrieve missing information from humans when acoustic conditions degrade. In this foundational study, Glaser modeled and experimentally evaluated multiple dialog strategies, comparing their error-handling capabilities and impact on user experience. Her contributions provide a systematic approach to designing robots that can gracefully manage misunderstandings—a key step toward deploying autonomous assistants in public spaces like airports, hospitals, and shopping centers. By prioritizing both functional accuracy and user comfort, Glaser’s research bridges the gap between technical speech recognition limitations and the human expectation of fluid, natural conversation. Her work remains a touchstone for researchers tackling the practical challenges of situated, task-oriented dialogue, demonstrating that even modestly cited papers can lay essential groundwork for more resilient, user-friendly robotic systems.