Runhe Huang

Hosei University

Papers

6

Total Citations

26

H-Index

4

About

Runhe Huang is a pioneering researcher at the intersection of cognitive informatics, human-computer interaction, and smart space robotics. Her work fundamentally explores how computational systems can understand and augment human characteristics—including behavior, emotion, and personality—through physiological data from wearable devices. Her landmark 2018 study on correlating personality traits with emotional states using wearable sensor data (7 citations) has opened new pathways for personalized AI and empathetic robotics. Huang has also made significant contributions to ubiquitous computing environments, developing multi-robot systems for object retrieval in smart spaces and creating "Homelog" frameworks for continuous home-based activity awareness. Her recent work in cognitive informatics and cognitive computing (2022, 4 citations) provides foundational theories for autonomous AI systems, bridging the gap between human intelligence and machine cognition. As a contributor to major IEEE panels on cognitive computing, Huang continues to shape the future of autonomous systems that can perceive, learn, and interact naturally with humans in complex, real-world environments.

Research Focus

Key Achievements

4
H-Index
6
Papers
26
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Correlation Analyses Between Personality Traits and Personal Behaviors Under Specific Emotion States Using Physiological Data from Wearable Devices
7 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Hosei University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago