Papers

9

Total Citations

84

H-Index

6

About

Miwako Doi’s research lies at the intersection of human-robot interaction, voice interfaces, and ubiquitous sensing, with a focus on creating robots that can actively listen and learn from human users. Her most influential work, “Design targeting voice interface robot capable of active listening,” has accumulated over 40 citations across its versions, addressing the pressing need for robotic assistance in aging societies like Japan, South Korea, and the EU. Doi pioneered voice interfaces that compensate for speech imperfections by having robots behave familiarly, like an infant, and learn user-defined voice instructions—a novel approach to making human-robot collaboration more intuitive. She also contributed to living activity recognition using off-the-shelf mobile phone sensors (14 citations) and developed a real-time vision-based gesture interface using a Motion Processor (12 citations). Her work on robotic localization service standards for ubiquitous network robots and background sensing control for planning agents in dynamic environments further demonstrates her impact on making robots more adaptive and context-aware. Doi’s overarching vision, articulated in her 2015 workshop on “wisdom computing,” is to create systems that foster co-experience knowledge and wisdom through harmonious human-machine collaboration.

Research Focus

Key Achievements

6
H-Index
9
Papers
84
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Design targeting voice interface robot capable of active listening
21 citations · 2010
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Toshiba (Japan), National Institute on Consumer Education

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago