Huizhong Cao
Huizhong is a researcher specializing in cognitive ergonomics, mental workload, and manufacturing digitalization innovation. With expertise in design and prototype-based experimentation, her work integrates human-centered design with advanced technologies. She focuses on assessing and optimizing mental workload in industrial environments, leveraging digital twins and XR platforms to improve decision-making, collaboration, and productivity. Engaged in the industrial metaverse, Huizhong's research aligns with Industry 5.0 principles, emphasizing sustainability and human-centricity. Her visionary approach redefines human-computer interaction, combining physiological assessment with immersive technologies to create intuitive, efficient systems. She is committed to advancing innovation at the intersection of cognitive science, technology, and manufacturing.
Showing 11 publications
Cognitive Augmentation Technologies: VR, AI and Social Robots for Industry 5.0
Beyond Videoconferencing: How Collaborative Tools Make Virtual Design Reviews Work
Integrating Dynamic Digital Twins: Enabling Real-Time Connectivity for IoT and Virtual Reality
Challenges and opportunities to advance manufacturing research for sustainable battery life cycles
VR interaction for efficient virtual manufacturing: mini map for multi-user VR navigation platform
The Creation of a Multi-User Virtual Training Environment for Operator Training in VR
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Showing 6 research projects
RILIK - Framework for Immersive learning in industrial settings
Scalable industrial XR trainings environments for battery production (XR-TBP)
Digital & Green Skills Towards Future of the Mobility Ecosystem (TRIREME)
PLENary multi-User developMent arena for industrial workspaces (PLENUM)
Digital work Instructions for cognitive work - DIGITALIS