Daseul Yang

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About

Daseul Yang is a researcher at the forefront of human-robot interaction, with a focus on how robots can communicate and behave more naturally in social and privacy-sensitive contexts. Her most cited work, “Effects of Social Behaviors of Robots in Privacy-Sensitive Situations” (2021, 23 citations), investigates how a robot’s social conduct influences user comfort and trust when handling private information—a critical contribution as robots enter homes and healthcare settings. Yang also advances nonverbal communication in robotics through her 2022 paper on generating co-speech gestures via morphemic analysis, which enables robots to automatically produce appropriate hand and body movements synchronized with their speech. By breaking down utterances into morphemes, her method allows robots to determine precisely when and how to gesture, making interactions more intuitive and human-like. Though early in her career, Yang’s work bridges linguistics, robotics, and social psychology, laying groundwork for more empathetic and context-aware machines. Her research is essential reading for those interested in designing robots that respect human boundaries while communicating with clarity and warmth.