Youngseok Joung
Papers
2
Total Citations
10
H-Index
2
About
Youngseok Joung’s research lies at the intersection of human-robot interaction and telepresence, with a focus on enhancing nonverbal communication in remote collaboration. His major contributions center on designing hardware and interfaces that enable telepresence robots to expressively convey turn-taking cues and deictic gestures—critical yet often overlooked elements of fluid conversation. In his 2019 work “Design and Evaluation of Expressive Turn-Taking Hardware for a Telepresence Robot,” Joung demonstrated how robotic movement and lighting can signal conversational intent, addressing a key limitation in commercial systems. That same year, his study “User Interface Tradeoffs for Remote Deictic Gesturing” explored how operators can effectively point and reference objects in distant environments, balancing precision with cognitive load. Though each paper has garnered around five citations, their impact is notable for laying foundational design principles in a nascent field. Joung’s work is particularly valuable for students and researchers seeking to make telepresence more human-like, bridging the gap between current robotic capabilities and the rich nonverbal dynamics of face-to-face interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2User Interface Tradeoffs for Remote Deictic Gesturing5 citations · 2019