Dingding Zheng

Keio University

Papers

1

Total Citations

6

H-Index

1

About

Dingding Zheng is a pioneering researcher at the intersection of music technology, human-computer interaction, and physiological computing. Their key research areas include real-time biosignal integration in live performance, affective computing, and embodied musical interaction. Zheng’s most notable contribution is the development of methods for seamlessly incorporating performers’ and audience members’ physiological data—such as electrodermal activity (EDA) and heart rate—into live music experiences, creating what they term “innermost echoes.” This work, published in 2024, has already garnered 6 citations, signaling its emerging influence in the field. By transforming invisible bodily responses into audible, interactive musical elements, Zheng has opened new avenues for deeply personalized and emotionally resonant performances. Their research challenges traditional boundaries between artist, audience, and instrument, offering a novel framework for understanding music as a shared physiological phenomenon. Zheng’s achievements include pioneering the practical integration of wearable biosensors into concert settings, bridging gaps between computer science, musicology, and cognitive science. For students and researchers, Zheng’s work represents a compelling vision of how technology can make art more intimate, responsive, and human.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Innermost Echoes: Integrating Real-Time Physiology into Live Music Performances
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago