Papers

8

Total Citations

136

H-Index

6

About

Shizuka Nakamura is a leading researcher in human-robot interaction, specializing in the development of socially intelligent android systems that can engage in natural, empathetic conversation. Her work centers on creating autonomous attentive listening capabilities for the android ERICA, enabling it to generate appropriate listener responses—such as backchannels, repeats, and elaborating questions—that build rapport with users. Nakamura’s major contributions include pioneering multimodal emotion recognition systems that combine prosody and sentiment analysis, allowing robots to express reactive emotions that match a speaker’s mental state. Her highly cited papers (with over 30 citations each) on attentive listening and emotion recognition have established foundational methods for autonomous social robots. Notably, her 2020 study on the ERICA system demonstrated that autonomous interactions could achieve human-like quality, while her 2019 work on reactive emotion expression advanced the field’s understanding of rapport-building in human-robot dialogue. Nakamura’s research has profound implications for assistive technologies, particularly for elderly care, where her systems aim to provide natural, engaging companionship through sophisticated turn-taking and character expression.

Research Focus

Key Achievements

6
H-Index
8
Papers
136
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An Attentive Listening System with Android ERICA: Comparison of Autonomous and WOZ Interactions
31 citations · 2020
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Kyoto University, Kyoto College of Graduate Studies for Informatics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago