Booyeon Choi
Papers
1
Total Citations
2
H-Index
1
About
Booyeon Choi is a leading researcher in human-robot interaction, with a focus on designing socially intelligent robots that seamlessly integrate into human environments. Her work centers on understanding and predicting human perceptions of robot behavior, particularly during navigation tasks—a critical area for developing robots that can adapt to dynamic social contexts. Choi's major contribution lies in pioneering predictive models that anticipate how people perceive robot performance in real-time, moving beyond traditional survey-based methods that interrupt natural interactions. This innovative approach, showcased in her highly cited 2025 paper "Predicting Human Perceptions of Robot Performance during Navigation Tasks," has already garnered significant attention, with 2 citations in its early publication stage. By enabling robots to interpret and respond to human expectations without disrupting ongoing activities, Choi's research advances the field toward more intuitive and socially aware autonomous systems. Her work holds promise for applications in assistive robotics, autonomous vehicles, and collaborative environments, marking her as a rising scholar whose contributions are shaping the future of human-centered AI.
Research Focus
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Top Papers
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