Catelyn Scholl
Papers
1
Total Citations
7
H-Index
1
About
Catelyn Scholl is a researcher at the intersection of human-robot interaction, cognitive science, and developmental psychology. Her work explores how nonverbal communication—particularly gestures—can enhance robots’ ability to convey meaning and resolve ambiguity in spoken language. In her most-cited study, Scholl investigated whether iconic gestures help listeners disambiguate homophones during storytelling with humanoid robots, drawing inspiration from child development research. This work, published in 2019 and cited 7 times, demonstrates her innovative approach to bridging insights from human cognition with robotics design. By showing that gestures can reduce lexical ambiguity in human-robot interaction, Scholl contributes to making robot communication more natural and intuitive. Her research holds promise for applications in education, assistive technology, and social robotics, where clear and expressive interaction is essential. Scholl’s work stands out for its interdisciplinary perspective, combining empirical rigor with a human-centered design ethos. As the field of social robotics grows, her contributions offer a foundation for building robots that communicate not just with words, but with the full richness of human gesture.
Research Focus
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Top Papers
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