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About
Dr. Hui Ni is a leading researcher at the intersection of child language development, human-robot interaction, and speech technology. Her most notable contribution is the creation of the JIBO Kids Corpus, a pioneering speech dataset capturing authentic child-robot interactions in a classroom environment. This landmark work, published in 2024, documents recordings from 110 children aged 4-7 years old as they engaged with the JIBO social robot in letter and digit identification tasks and extended oral discourse activities. By providing a rich, ecologically valid resource of children's natural speech patterns during human-robot collaboration, Dr. Ni's research addresses a critical gap in speech technology development for young users. Her work has immediate implications for designing more effective educational robots, improving automatic speech recognition systems for children, and advancing our understanding of how young learners interact with social agents. With her innovative dataset already garnering attention in the field, Dr. Ni is establishing herself as a key figure in child-centered AI and developmental robotics, paving the way for more inclusive and adaptive educational technologies.
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