Jihong Jeong
Papers
1
Total Citations
12
H-Index
1
About
Jihong Jeong is a rising researcher in artificial intelligence, with a focus on developing socially intelligent AI systems capable of natural, life-like interaction. Their key research areas include human-AI cooperation, social cognition in machines, and the use of game-based paradigms to study and engineer interactive AI. Jeong’s most cited work, “Exploring Data-Driven Components of Socially Intelligent AI through Cooperative Game Paradigms” (2022, 12 citations), introduces novel frameworks for designing AI agents that can engage in fluid, context-aware social exchanges—bridging insights from virtual reality, human-robot interaction, and natural language processing. This contribution is particularly notable for its emphasis on data-driven methods to model the subtle, cooperative dynamics that underpin successful human social behavior. By grounding AI development in cooperative game theory, Jeong’s research offers a scalable path toward more intuitive and responsive social AI. Though early in their career, Jeong’s work has already attracted attention for its interdisciplinary approach and practical implications, marking them as a promising voice in the quest to build machines that truly understand and participate in human social worlds.
Research Focus
Key Achievements
Top Papers
- 1