Tetsuya Sano
Papers
2
Total Citations
8
H-Index
2
About
Tetsuya Sano is a researcher at the forefront of human-robot interaction, specializing in the nuanced field of android-mediated communication. His work focuses on the critical role of non-verbal cues—specifically eye contact and blinking—in creating natural, engaging conversations between humans and lifelike robots. Sano’s major contributions involve systematically evaluating whether rule-based or imitation-driven behaviors produce more attractive and human-like interactions. By using androids with highly realistic appearances, he investigates the subtle factors that drive high-level communication, such as the timing and frequency of eye movements. His most-cited papers, including "Evaluating imitation and rule-based behaviors of eye contact and blinking using an android for conversation" (2021) and "Evaluating Imitation of Human Eye Contact and Blinking Behavior Using an Android for Human-like Communication" (2019), each with 4 citations, lay foundational groundwork for designing more socially adept robots. This research is pivotal for advancing fields like social robotics and assistive technology, where trust and rapport are essential. Sano’s work demonstrates that even the smallest behavioral details can profoundly impact how humans perceive and connect with machines.
Research Focus
Key Achievements
Top Papers
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