Joo Weon Lim
Papers
1
Total Citations
6
H-Index
1
About
Joo Weon Lim is a researcher at the forefront of human-robot interaction and embodied AI, with a primary focus on video question answering (VQA) and collaborative task understanding. Her most notable contribution is the development of **GazeVQA**, a pioneering dataset introduced in 2023 that bridges the gap between multiview video analysis and eye-gaze tracking. By integrating exocentric and egocentric video perspectives, Lim’s work enables AI systems to interpret human intentions through gaze cues during collaborative tasks—a critical step toward more intuitive human-robot partnerships. This dataset, which has already garnered 6 citations in its early release, addresses a novel challenge in VQA by leveraging eye-gaze information to decode task-oriented interactions. Lim’s research is distinguished by its practical application to real-world collaboration scenarios, where understanding a partner’s visual attention is essential. Her work not only advances the technical capabilities of AI in interpreting complex, multimodal human behavior but also lays the groundwork for future systems that can seamlessly assist in joint activities. As an emerging voice in her field, Lim’s contributions are shaping how machines learn to see and collaborate with humans.
Research Focus
Key Achievements
Top Papers
- 1