Tatsuro Hori
Papers
1
Total Citations
21
H-Index
1
About
Tatsuro Hori is a researcher at the intersection of human-robot interaction and cognitive support, with a primary focus on developing socially assistive robots that enhance human memory and communication. His most cited work, "Making Turn-Taking Decisions for an Active Listening Robot for Memory Training" (2016, 21 citations), introduces a novel framework for enabling robots to engage in natural, empathetic dialogue during memory training sessions. Hori’s key contribution lies in designing algorithms that allow robots to autonomously manage conversational turn-taking—deciding when to listen, prompt, or respond—thereby fostering more effective and engaging interactions for users, particularly the elderly or those with cognitive decline. This work has been influential in advancing active listening capabilities in social robotics, with implications for therapeutic and assistive technologies. Beyond this, Hori’s research explores how robotic systems can adapt to individual user needs, blending insights from psychology, linguistics, and artificial intelligence. His achievements highlight a commitment to creating robots that are not just functional but genuinely supportive partners in human well-being, making his work a cornerstone for future developments in cognitive robotics and human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1