Human-Centered AI
Developing AI methods and systems that put human needs, abilities, values, and real-world contexts at the center of design.
We build intelligent systems that understand how people see, move, and interact. Our research connects human motion generation, immersive computing, behavior modeling, and human-centered AI.
HAI Lab studies computational models and interactive systems that make AI more aware of human bodies, intentions, and contexts. Below highlights our major research directions.
Developing AI methods and systems that put human needs, abilities, values, and real-world contexts at the center of design.
Learning computational models of human actions, intentions, attention, and interaction patterns from multimodal behavioral data.
Analyzing gaze, fixation, and visual attention signals to understand how people perceive, decide, and interact with their environments.
Building immersive systems that integrate sensing, interaction, and intelligent assistance across virtual and augmented environments.
Designing and evaluating interactive systems that improve how people use, understand, and collaborate with computing technologies.
Studying how people communicate with, control, trust, and co-create with AI systems in everyday and professional settings.
Prof. Zhiming Hu will serve on the Program Committee for ACM MM 2026.
Prof. Zhiming Hu will serve as Associate Program Co-Chair for ICXR 2026.
One paper is accepted at IEEE FG 2026.
Prof. Zhiming Hu received a TVCG Reviewer Certificate.
One paper is accepted at IEEE VR 2026 Workshop NIDIT.
One paper is accepted at ETRA 2026.
One paper is accepted at AAAI 2026.
Prof. Zhiming Hu became an Executive Committee Member of CCF TCVRV.
One paper is accepted at ACM Transactions on Interactive Intelligent Systems.
Prof. Zhiming Hu became a Cross-Campus Faculty Affiliate at HKUST.
Prof. Zhiming Hu joined the Editorial Board of IEEE Transactions on Visualization and Computer Graphics.
HAI Lab was officially established at HKUST (GZ).