Yoko Shinoda
Papers
3
Total Citations
19
H-Index
2
About
Yoko Shinoda is a researcher focused on human-robot interaction, specifically designing conversational agents to support elderly populations. Her primary research areas include cloud-based chat robot systems, dialogue history analysis, and category estimation for voice-based interactions. Shinoda’s major contribution is the development of a cloud-based chat robot that uses dialogue histories to engage elderly users, aiming to alleviate boredom and promote long-term use as a home companion. Unlike conventional systems relying on fixed phrase databases, her approach reduces manual effort by leveraging dynamic, cloud-stored conversational data. Her most-cited work, "A cloud based chat robot using dialogue histories for elderly people" (2015, 14 citations), demonstrates the potential of adaptive, low-maintenance chatbots for geriatric care. In subsequent studies, she analyzed dialogue histories from week-long experiments with users over 65, revealing patterns in engagement and interaction quality. Her 2016 paper on category estimation for voice-based systems further advanced topic detection in spoken utterances, addressing a gap in voice-driven chatbot research. Though her citation counts are modest, Shinoda’s work is notable for its practical, user-centered approach to assistive technology, offering insights into designing empathetic, sustainable AI companions for aging societies.
Research Focus
Key Achievements
Top Papers
- 1A cloud based chat robot using dialogue histories for elderly people14 citations · 2015
- 2
- 3Analysis of category estimation for cloud based chat robot2 citations · 2016