Joohwan Kim
Papers
1
Total Citations
15
H-Index
1
About
Joohwan Kim is a leading researcher in human-computer interaction, with a primary focus on perceptual rendering, latency reduction, and immersive display systems. His work bridges the gap between computational graphics and human perception, seeking to optimize user performance in real-time, interactive environments. One of his most impactful contributions is the study of end-to-end latency in remote-rendering systems, particularly for game streaming services. In his highly cited 2020 paper, "Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions," Kim demonstrated how post-render warping combined with late input sampling can significantly mitigate the performance penalties caused by latency in aiming tasks. This work, which has garnered 15 citations, directly addresses a critical bottleneck in cloud gaming and VR systems, where even milliseconds of delay degrade user experience. Kim’s research is instrumental in shaping the next generation of low-latency, high-fidelity interactive graphics, making him a pivotal figure in advancing both the technical and perceptual foundations of modern display and streaming technologies.
Research Focus
Key Achievements
Top Papers
- 1