Michael Nebeling and Janet Johnson at University of Michigan; Brennan Jones at XJTLU.
Publications
Zhuo Wang, ..., Wolfgang Stuerzlinger
Duo Streamers: A Streaming Gesture Recognition Framework
Boxuan Zhu, Sicheng Yang, Zhuo Wang, Haining Liang, Junxiao Shen
2025
Qian Zhu, Zhuo Wang, Wei Zeng, Wai Tong, Weiyue Lin, Xiaojuan Ma
CHI '24, Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, 2024
Qian Zhu, Linping Yuan, Zian Xu, Leni Yang, Meng Xia, Zhuo Wang, Hai-Ning Liang, Xiaojuan Ma
International Journal of Human-Computer Studies, vol. 181, 2024, p. 103137
DreamVR: Curating an Interactive Exhibition in Social VR Through an Autobiographical Design Study
Jiaxun Cao, Qingyang He, Zhuo Wang, RAY LC, Xin Tong
CHI '23, Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, 2023
Projects
This work aims to explore the potential of using a VR data story to raise people’s situation awareness of health risks
This work aims to understand the promises and challenges of experiencing and curating exhibitions in VR
Interaction Technology of Situated Visualization
This work explore socially acceptable interaction design for situated visualization
Navigation Technique in Multi Scale Environment
This work focuses on the design and evaluation of a unified multi-scale navigation user interface to help users quickly understand spatial and hierarchical information in MSVEs
A Streaming Gesture Recognition Framework
This project aims to develop a gesture recognitrion framework in resource-constrained scenarios
Design of Mixed Reality Systems to Enrich the Beverage Experience
This work focus on a adaptive multisensory drinking system
Investigating Embodied Conversation Agent to reduce LLM hallucination in Virtual Reality Education.
This work explore different AI hallucination-aware cues design for embodied conversational agents
This project aims to provide a personalized, responsive learning experience
This project aims to explore how to use MR as a medium to regulate AI agent in collaboration work.