Misato Yatsushiro
Papers
2
Total Citations
22
H-Index
2
About
Misato Yatsushiro is a researcher in human-robot interaction and social signal processing, with a focus on how robots can interpret and generate natural nonverbal cues in multiparty conversations. Her work centers on gaze behavior and dominance estimation, exploring how these factors shape group dynamics and conversational flow. In her most-cited paper, "Generating Robot Gaze on the Basis of Participation Roles and Dominance Estimation in Multiparty Interaction" (2015, 20 citations), she demonstrates that gaze patterns vary not only by participation role—speaker, addressee, or side participant—but also by perceived dominance, enabling robots to produce more socially appropriate gaze responses. Her earlier work, "A Dominance Estimation Mechanism Using Eye-Gaze and Turn-Taking Information" (2013), establishes a regression model that leverages speech and gaze cues to estimate conversational dominance, contributing to more fluid and context-aware multiparty interaction management. Though her citation counts are modest, Yatsushiro’s research is foundational for developing socially intelligent robots capable of navigating complex group settings, with implications for collaborative robotics, virtual agents, and assistive technologies. Her work bridges computational modeling and social psychology, offering practical tools for enhancing human-robot communication.
Research Focus
Key Achievements
Top Papers
- 1
- 2