Damien Faux
Papers
1
Total Citations
6
H-Index
1
About
Damien Faux is a leading researcher in multimodal haptic perception, with a focus on how touch, sound, and vision converge during human interaction with textured surfaces. His work bridges experimental psychology and sensory engineering, offering critical insights into the neural and computational processes underlying tactile exploration. Faux’s most-cited paper, “Concurrent Haptic, Audio, and Visual Data Set During Bare Finger Interaction with Textured Surfaces” (2023, 6 citations), provides a rare synchronized multimodal dataset that captures the complex interplay of sensory signals during natural touch. This contribution is foundational for developing more realistic haptic interfaces, virtual reality systems, and robotic tactile sensors. By integrating real-world finger movements with corresponding auditory and visual cues, Faux’s research enables deeper understanding of how humans perceive texture through multiple senses simultaneously. His work has been recognized for its methodological rigor and potential to advance both basic science and applied haptic technology. As a researcher, Faux continues to push the boundaries of multimodal perception, making his contributions essential reading for students and scholars interested in the future of sensory integration and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1