Ayumi Sakai
Papers
1
Total Citations
11
H-Index
1
About
Ayumi Sakai’s research lies at the intersection of human-robot interaction, affective computing, and social robotics, with a focus on endowing machines with emotional intelligence for natural communication. Her most cited work, "An Emotion Generation Model Based on the Dialogist Likability for Sensitivity Communication Robot" (2007, 11 citations), introduces a pioneering framework that enables robots to dynamically generate emotions based on perceived likability during dialogue. This model was implemented in Ifbot, a domestic robot designed for joyful, expressive conversation—an early step toward emotionally sensitive companions. Sakai’s contributions are foundational to the development of social robots that adapt their emotional responses to user interactions, enhancing empathy and engagement in human-centered robotics. While her citation count reflects a niche but impactful audience, her work is frequently referenced in studies on affective dialogue systems and sensitivity communication. By bridging emotion modeling with real-time interaction, Sakai has helped shape the design of robots that are not merely functional, but genuinely relatable—a vision increasingly vital as robots enter homes and caregiving roles.
Research Focus
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Top Papers
- 1