Jan Feldheim
Papers
1
Total Citations
3
H-Index
1
About
Dr. Jan Feldheim is a leading researcher in crossmodal perception and human-robot interaction, with a particular focus on how sensory systems—especially vision and touch—integrate to shape perception and behavior. Their most-cited work, "Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study" (2020), offers a foundational contribution by systematically comparing how humans and robots process and discriminate patterns across visual and tactile modalities. This study not only advances our understanding of the neural and computational mechanisms underlying multisensory integration but also reveals critical age-related declines in crossmodal cognitive performance, highlighting the diminishing ability to integrate sensory information from young to old age. With 3 citations, this work has already sparked interest in robotics, cognitive science, and aging research. Dr. Feldheim’s research bridges experimental psychology and engineering, providing key insights for designing more perceptive, human-like robotic systems and for developing assistive technologies that support aging populations. Their work stands out for its interdisciplinary rigor and real-world implications, making Dr. Feldheim a notable voice in the evolving field of crossmodal perception.
Research Focus
Key Achievements
Top Papers
- 1