Erina Kasano
Papers
2
Total Citations
14
H-Index
2
About
Erina Kasano is a researcher at the forefront of human-robot interaction, specializing in the nuanced integration of nonverbal communication to make dialogue robots more intuitive and human-like. Her work focuses on analyzing and modeling human behaviors—specifically speech patterns and head motion—to enable robots to perceive and express complex internal states such as confidence and uncertainty. Kasano’s foundational study, “Estimation of Speaker’s Confidence in Conversation Using Speech Information and Head Motion” (2019, 11 citations), pioneered methods for robots to gauge a human partner’s certainty from multimodal cues. She then advanced this line of inquiry in “Robot Behavior Design Expressing Confidence/Unconfidence based on Human Behavior Analysis” (2020, 3 citations), where she translated her behavioral findings into actionable robot design principles. By moving beyond purely verbal interaction, Kasano’s contributions help create socially aware robots capable of more natural, empathetic dialogue—a critical step for applications in education, therapy, and collaborative work. Her research underscores the importance of nonverbal intention in building trust and rapport between humans and machines.
Research Focus
Key Achievements
Top Papers
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