Nathan Smyk
Papers
1
Total Citations
6
H-Index
1
About
Nathan Smyk’s research lies at the intersection of social neuroscience and human-robot interaction, exploring how our brains process and respond to social touch. His most-cited work, “Sensorimotor Oscillations During a Reciprocal Touch Paradigm With a Human or Robot Partner” (2018, 6 citations), investigates how sensorimotor EEG oscillations shift depending on whether a task partner is perceived as human or robotic. This study offers a novel window into the neural mechanisms underlying social cognition, revealing that the brain’s oscillatory activity is finely tuned to the perceived nature of an interaction partner. By bridging robotics and cognitive neuroscience, Smyk’s contributions help illuminate the fundamental processes that shape our sense of connection and agency during reciprocal touch. His work is particularly impactful for researchers designing more socially intuitive robots and for neuroscientists studying embodied social perception. Though early in his career, Smyk’s focused, interdisciplinary approach is already generating valuable insights into how humans differentiate between—and engage with—living and artificial social agents.
Research Focus
Key Achievements
Top Papers
- 1