Yuki Ban
Papers
3
Total Citations
55
H-Index
2
About
Yuki Ban is a leading researcher in human-computer interaction and haptic interfaces, with a focus on cross-modal perception and teleoperation. Her work bridges the gap between visual, tactile, and emotional experiences, aiming to enhance how humans interact with technology. One of her major contributions is the development of a Residue-Fusion GAN with feature-matching and perceptual losses for visual-tactile cross-modal data generation, a method that translates visual information into tactile sensations. This work, cited 50 times, has advanced the field of haptic feedback by enabling more realistic and intuitive sensory experiences. Ban has also explored mitigating latency in robot teleoperation using a VR-enabled virtual spring, addressing critical challenges in remote control systems to improve operator performance and reduce discomfort. Additionally, her research on sharing emotions through text by altering self-physiological perception highlights her innovative approach to affective computing. Ban’s work is highly impactful, with her most-cited paper demonstrating significant influence in the cross-modal perception community. Her contributions are paving the way for more immersive and emotionally resonant human-machine interactions, making her a key figure in the future of haptics and teleoperation.
Research Focus
Key Achievements
Top Papers
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