Junyeong Kum
Papers
1
Total Citations
15
H-Index
1
About
Junyeong Kum is a researcher at the forefront of human-computer interaction, with a particular focus on enhancing the naturalness and responsiveness of conversational systems involving digital humans. His work addresses a critical challenge in the field: the perception of latency during real-time dialogue. In his most-cited study, "Can Gestural Filler Reduce User-Perceived Latency in Conversation with Digital Humans?" (2022, 15 citations), Kum explores how subtle, human-like behaviors—such as gestural fillers—can mask system delays, thereby improving user experience and perceived system availability. This contribution is especially significant as the demand for AI-driven digital humans grows, where even minor latency can disrupt the illusion of seamless interaction. By bridging insights from psychology, animation, and AI, Kum’s research offers practical design strategies for more fluid and engaging virtual conversations. His work not only advances technical understanding but also informs the development of more empathetic and believable digital agents, making him a notable voice in the evolution of conversational AI and embodied interaction.
Research Focus
Key Achievements
Top Papers
- 1