Skip to main content Start main content
Zhou Zhibin
PolyU Scholars Hub

Zhou Zhibin

Research Assistant Professor

  • V502d
  • +852 2766 5492
  • zhibin.zhou@polyu.edu.hk
  • Research Interests: Human-AI Interaction Design Methodology/Tools for AI-enhanced UX

Biography

Dr. Zhibin Zhou is a Research Assistant Professor at the School of Design, The Hong Kong Polytechnic University. He also serves as the Co-Director of the Research Institute of Design-Driven Entrepreneurship and the Assistant Director of the PolyU-NVIDIA Joint Research Centre. Before joining PolyU, Dr. Zhou was a Post-doctoral Fellow at the Hong Kong Center for Construction Robotics affiliated with the Hong Kong University of Science and Technology. He earned his PhD from the College of Computer Science and Technology at Zhejiang University and was a visiting PhD candidate at Politecnico di Milano, where he worked on an AI-powered platform to facilitate design collaboration through spatial virtual reality. With a background in design and artificial intelligence (AI), Dr. Zhou's research aims to deepen the understanding of AI as an emerging technology for enhancing human-AI interaction and advancing AI-assisted design practices.

Education and Academic Qualifications

  • PhD, Zhejiang University School of Computer Science and Technology

Teaching Area

  • Human-AI Interaction 
  • Design Methodology/Tools for AI-enhanced UX   

Research Outputs

Zhou, Z., Li, Y., & Yu, J. (2025). Exploring the Application of LLMs-based AI in UX Design: A Case Study of ChatGPT, Human-Computer Interaction.
https://doi.org/10.1080/07370024.2024.2420991
Zhou, Z., Li, J., Zhang, Z., Yu, J., & Duh, H. (2025). Examining How the Large Language Model Impacts the Conceptual Design with Human Designers: A Comparative Case Study, International Journal of Human-Computer Interaction, 41(10), 5864–5880. https://doi.org/10.1080/10447318.2024.2370635
Mei, Y., Wu, Z., Yu, J., Li, W., & Zhou, Z. (2024). GeneyMAP: Exploring the Potential of GenAI to Facilitate Mapping User Journeys for Design, In the 2025 CHI Conference on Human Factors in Computing Systems, https://doi.org/10.1145/3706598.3713479
Li, W., Yu, J., Zhou, Y., You, W., & Zhou, Z. (2024). Exploring the Design of Human Speech Indicators to Enhance Waiting Experience, In the 2025 CHI Conference on Human Factors in Computing Systems, https://doi.org/10.1145/3706598.3713090
Zhou, Z., Sun, L., Zhang, Y., Liu, X., & Gong, Q. (2020). ML Lifecycle Canvas: Designing Machine Learning-Empowered UX With Material Lifecycle Thinking. Human–Computer Interaction, 35(5-6), 362-386. https://doi.org/10.1080/07370024.2020.1736075

For more research outputs, please refer to PolyU Scholar Hub.

 

Projects

National Natural Science Foundation of China Young Scientists Fund, PI, 2025/1-2027/12


General Research Fund, Research Grants Council, PI, 2026/1-2027/12


General Research Fund, Guangdong Basic and Applied Basic Research Foundation, PI, 2025/1-2027/12


Fund for Innovative Technology-in-Education, PI, 2023/11-2026/6


China National Arts Fund, Co-I, 2025


Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly.

You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here