Hailiang Wang

PolyU Scholars Hub

Assistant Professor

Deputy Specialism Leader of MDes Intelligent Systems Design (ISD)

V713b
+852 2766 5471
hailiang.wang@polyu.edu.hk
Expertise: Human Factors/Ergonomics, Human-Computer Interaction, Health Informatics, Intelligent Systems Design, Human Psychosocial Behaviors
Personal Website

PolyU Scholars Hub

ORCID ID

Google Scholar

Biography

Prof. Hailiang Wang is an Assistant Professor (Presidential Young Scholar) in the School of Design at The Hong Kong Polytechnic University. His research work mainly focuses on the application of human factors and ergonomics, smart technology (e.g., VR/AR, sensor, AIoT), and big data techniques to design health care systems/devices, improve human-computer interactions, and further enhance people’s safety and health.

Education and Academic Qualifications

PhD in Human Factors Engineering, The University of Hong Kong
MSc in Industrial Engineering and Logistics Management, The University of Hong Kong
MPhil in Management, Dalian University of Technology
BSc in Management, Dalian University of Technology

Teaching Area

Design Research Methods (Product Design/Interaction Design/PED, BA)
Human Scale in Wearable Technologies (Product Design, BA)
Capstone Project: Interactive Media (Interaction Design, BA)
ISD Capstone Research Project (Intelligent Systems Design, MDes)
IBD Entrepreneurship Project (Innovative Business Design, MDes)

Research Outputs

Li, J., and Wang, H. (2025). Designing and evaluating a narrative-driven spatial visualization for improving patient-centered communication among older adults. CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Article No.: 184, Pages 1–11.

Mao, Q., Teh, P.L., Wang, S., Wang, H. (2025). Freedom to Personalize Walking Aids: A User-Centric Design Framework for Age-Friendly Smart Canes. International Journal of Human-Computer Interaction, 1-16. DOI:10.1080/10447318.2025.2526577

Zhao, Z., Liu, K., Lyu, S., Wang, S., Chak, Y., Wang, H. (2025). Integrating Embodied Cognition with the UTAUT Model to Investigate Factors Influencing the Adoption of Home-based Health Monitoring Systems. Health Informatics Journal, 31(3):1-18. DOI:10.1177/14604582251363546

Yan, M., Deng, C., Gao, J., & Wang, H. (2025). Development and empirical examination of the acceptance of a hazard identification and safety training system based on VR technology. Safety Science, 187:106853. https://doi.org/10.1016/j.ssci.2025.106853

Tao, D., Ren, X., Liu, K., Mao, Q., Cai, J., and WANG, H. (2024). Effects of color scheme and visual fatigue on visual search under vibration environments. Displays.82:102667. DOI: 10.1016/j.displa.2024.102667

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