
Dr. MAO Qian 毛倩博士
Assistant Professor
Contact
Office:
Phone:
Email: qmao@hksyu.edu
Academic and Professional Qualification
Ph.D. The Hong Kong Polytechnic University
M.Phil. Xi'an Polytechnic University
BA. Yancheng Institute of Technology
Specialism and Research Interests
- Human-Centered Design
- Immersive Technology Design
- AI-enhanced Innovation Media Design
- Embodied Intelligence for Human-Computer Interaction
Courses
SCT 512: Immersive Technologies for Cultural Tourism Experience
SCT 504: Human-Centred Research Methodology
Selected Publications
Mao, Q., & Yang, F. (2026). Modified Extended Kalman Filter and Long Short-Term Memory-Based Framework for Reliable Stride-Length Estimation Using Inertial Sensors. Sensors, 26(4), 1096.
Che, R., Li, J., Deng, C., Mao, Q., Ho, J. C., Nah, F., ... & Wang, H. (2026). Self-avatar-supported observational learning: Designing and evaluating VR-based physical exercise tutorial systems for older adults. International Journal of Human-Computer Studies, 103826.
Mao, Q., & Wang, H. (2026, June). Cautious Optimism: Quantifying Physiotherapists’ Acceptance and Defining the Human-Centric Role in Technology-Assisted Mobility Assessment. In International Conference on Human-Computer Interaction (pp. 333-344). Cham: Springer Nature Switzerland.
Mao, Q., Teh, P. L., Wang, S. J., & 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.
Yu, L., Zhao, Y., Mao, Q., Tsui, K. L., Pang, M. Y., Guo, H., & Wang, H*. (2025). A qualitative study exploring physiotherapists’ insights on the design and development of technology-enhanced gait and balance assessment systems for older adults. Digital Health, 11, 20552076251365074.
Mao, Q., Zhao, Z., Yu, L., Zhao, Y., & Wang, H*. (2024). The Effects of Virtual Reality- Based Reminiscence Therapies for Older Adults With Cognitive Impairment: Systematic Review. Journal of Medical Internet research, 26, e53348.
Mao, Q.†, Zhang, J.†, Yu, L., Zhao, Y., Luximon, Y., & Wang, H*. (2024). Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials. Journal of NeuroEngineering and Rehabilitation, 21(1), 85.
Mao, Q., Che, R., Zhao, Z., Li, J., Liu, X., Wang, H*. (2024). Design and evaluation of a technological function-based intelligent exercise system for older adults. ZHUANGSHI, 05:40-47.
Zhou, J., Mao, Q.*, Yang, F., Zhang, J., Shi, M., & Hu, Z. (2024). Development and assessment of artificial intelligence-empowered gait monitoring system using single inertial sensor. Sensors, 24(18), 5998.
Research Projects