Siqi Sun

Tokyo Metropolitan University

Papers

3

Total Citations

24

H-Index

2

About

Siqi Sun’s research focuses on human-robot interaction and assistive technology for elderly care, addressing the critical challenge of aging societies, particularly in Japan. Their major contributions lie in designing robot partners that motivate daily exercise and promote health among older adults. By integrating cognitive biases into robotic behavior, Sun’s work shows how subtle psychological cues can encourage physical activity, reducing the burden on caregivers. Their 2017 paper on this topic has garnered 14 citations, reflecting its influence in the field. Sun also developed smart device-interlocked robot partners that deliver personalized health knowledge, as detailed in their 2016 publications. These systems combine wearable sensors with robotic companions to monitor and improve well-being in home-care settings. Sun’s research is notable for its practical, user-centered approach, bridging robotics and behavioral science to create empathetic, effective care solutions. Their work has significant implications for community-based and home-care models, offering scalable tools to support an aging population.

Research Focus

Key Achievements

2
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Human-robot interaction based on cognitive bias to increase motivation for daily exercise
14 citations · 2017
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tokyo Metropolitan University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago