Theing Mwe Oo
Papers
2
Total Citations
9
H-Index
2
About
Theing Mwe Oo is a pioneering researcher in human-robot interaction, specializing in the design of socially aware service robots and the study of affective responses in public spaces. Her work bridges robotics, psychology, and social norms, with a focus on how robots can navigate complex human environments. In her highly cited 2024 paper, "Iterative Robot Waiter Algorithm Design," she introduced a novel framework for programming service robots to meet human expectations in restaurant settings, using body-storming techniques to refine algorithms for tasks like serving food at cocktail events. This work has garnered 5 citations, highlighting its immediate impact on the field. Her second major contribution, "Robotic Gestures, Human Moods," explores how robotic gestures—such as bidding for attention or offering rewards—influence human emotions in public interactions, earning 4 citations for its insights into mood dynamics. Oo’s research is notable for its practical applications, from enhancing customer service to improving public acceptance of robots, and her iterative, user-centered approach sets a benchmark for designing robots that are both functional and socially intuitive. Her achievements position her as a rising leader in creating robots that seamlessly integrate into daily life.
Research Focus
Key Achievements
Top Papers
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- 2