Susan McRoy
Papers
1
Total Citations
7
H-Index
1
About
Susan McRoy is a leading researcher in human-robot interaction and computational linguistics, with a focus on how non-verbal cues enhance communication. Her most cited work, "Using Gestures to Resolve Lexical Ambiguity in Storytelling with Humanoid Robots" (2019, 7 citations), demonstrates a major contribution: she showed that iconic gestures can help robots resolve homophone ambiguities during storytelling, a finding that bridges cognitive science and robotics. By testing how co-speech gestures aid lexical disambiguation—a challenge that even children face—McRoy’s research has practical implications for designing more intuitive, socially aware robots. Her work stands out for its interdisciplinary approach, combining gesture studies, natural language processing, and human-robot interaction. While her citation count reflects a focused, emerging field, the novelty of her experiments—using humanoid robots to mimic human communicative strategies—positions her as a pioneer in making robots better conversational partners. For students and researchers, McRoy’s studies offer a compelling model of how subtle, embodied cues can transform machine understanding of language.
Research Focus
Key Achievements
Top Papers
- 1