Tamami Nakano
Papers
2
Total Citations
43
H-Index
2
About
Tamami Nakano is a pioneering researcher in cognitive neuroscience, specializing in the mechanisms of social interaction, human-robot communication, and sensory processing in neurodevelopmental conditions. Her work bridges the gap between human behavior and artificial agents, exploring how synchrony—such as eyeblink coordination—shapes our perception of robots as social partners. In her highly cited 2016 study on eyeblink synchrony in multimodal human-android interaction, she demonstrated that subtle behavioral alignment can bias human attitudes toward robots, laying groundwork for more natural human-robot relationships. Nakano has also made significant contributions to understanding autism spectrum disorders, notably in her 2016 paper showing that individuals with ASD perceive similar humanness in human and artificial singing voices, challenging assumptions about social cognition deficits. Her research, accumulating over 40 citations, has been influential in robotics, psychology, and clinical neuroscience. Nakano’s work not only advances theoretical models of social bonding but also informs the design of empathetic AI and therapeutic interventions for atypical sensory processing.
Research Focus
Key Achievements
Top Papers
- 1Eyeblink Synchrony in Multimodal Human-Android Interaction23 citations · 2016
- 2