Jing Guang Hang
Papers
1
Total Citations
9
H-Index
1
About
Jing Guang Hang is a leading researcher in multimodal human-robot interaction and spoken dialogue systems, with a focus on constructing rich, ecologically valid language resources. Their most cited work, the 2012 paper on the Herme Database, presents a groundbreaking methodology for capturing spontaneous, real-world human-robot dialogues. Over three months at Dublin’s Science Gallery, Hang’s team collected a unique corpus of interactive speech, enabling the study of natural, unscripted communication between visitors and a robot. This resource has been instrumental for advancing research in speech recognition, multimodal fusion, and dialogue management, providing a benchmark for evaluating systems in authentic social contexts. With 9 citations, this foundational contribution demonstrates Hang’s impact on the field, offering tools and frameworks that have shaped subsequent work in human-robot interaction. Their dedication to creating high-quality, open-access resources underscores a commitment to reproducibility and collaboration, making them a key figure in the development of more intuitive, responsive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1