Yitian Hong
Papers
1
Total Citations
1
H-Index
1
About
Yitian Hong is a rising scholar in the field of developmental linguistics and human-robot interaction, with a focused interest in how children acquire and adapt phonetic patterns in dynamic social contexts. Her most-cited work, "Individual Variation in Phonetic Accommodation of Mandarin-Speaking Children during Conversations with a Virtual Robot" (2024), examines how young Mandarin speakers adjust their speech in real-time when interacting with a virtual robot, revealing significant individual differences in phonetic convergence. This research bridges psycholinguistics and artificial intelligence, offering insights into child language development and the design of more responsive educational technologies. Though early in her career, Hong’s study has already garnered attention for its novel integration of experimental phonetics and interactive robotics, contributing to a growing understanding of how social and technological factors shape language learning. Her work underscores the importance of considering variability in child speech accommodation, with implications for both developmental theory and applied fields like speech therapy and human-computer interaction. As she continues to explore the intersection of language, cognition, and technology, Hong is poised to make further impactful contributions to the study of communicative development.
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Top Papers
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