Links
Email: tanghanj@hku.hk
Biography
Tanghan Jiang is a Postdoctoral Research Fellow at The University of Hong Kong. Her research lies at the intersection of construction safety, human factors, immersive simulation, neuroergonomics, and human–robot collaboration.
She received her PhD from Monash University, where her work examined how construction workers perceive hazards, allocate attention, manage cognitive demands, and make safety-critical decisions in dynamic operational environments. Her research integrates immersive digital environments, multimodal sensing, and human-centred experimental design to generate evidence for safer construction systems and emerging technology adoption.
Research Vision
Tanghan's research aims to develop human-centred safety intelligence for future construction systems.
Her work seeks to understand not only whether people perform safely, but how safety-critical perception, attention, workload, trust, and decision-making unfold during complex work. By connecting human factors theory with immersive simulation and multimodal human-state assessment, her research contributes to safer, more transparent, and more adaptive construction technologies.
Research Specialities
Human-Centred Construction Safety
Understanding how workers perceive risk, identify hazards, and make safety-critical decisions under uncertainty, time pressure, and dynamic task demands.
Immersive Simulation and Digital Construction Environments
Using VR/AR simulation and digital environments to study complex construction operations in controlled, realistic, and experimentally traceable settings.
Neuroergonomics and Multimodal Human-State Assessment
Combining behavioural, physiological, and subjective indicators to examine attention, workload, vigilance, and cognitive control during safety-critical tasks.
Human–Machine Collaboration and Trust in Automation
Investigating how people perceive, trust, and coordinate with robotic and automated systems in safety-critical environments.
Safety Intelligence for Emerging Construction Technologies
Translating human-centred evidence into safer technology design, operator assessment, training strategies, and adoption pathways for future construction systems.
Selected Publications
- Jiang, T., Fang, Y., Goh, J., & Hu, S. (2024). Impact of simulation fidelity on identifying swing-over hazards in virtual environments for novice crane operators. Automation in Construction, 165, 105580.
- Jiang, T., Fang, Y., Zheng, N., & Chen, J. (2024). Understanding construction workers' cognitive processes under risky scenarios through electroencephalography. Automation in Construction, 166, 105674.
- Xu, Z., Jiang, T., Xiao, D., Fang, Y., & Zheng, N. (2024). Analyzing riders' behavioral adaptation to driving patterns of advanced autonomous vehicles: A virtual reality simulation study. International Journal of Human–Computer Interaction, 1–19.
Research Directions
Human-Centred Safety in Dynamic Construction Operations
This research direction examines how workers identify and respond to hazards in complex construction tasks. It focuses on the human mechanisms behind safe performance, including perception, attention, risk appraisal, workload, and decision-making.
Immersive and Data-Driven Safety Assessment
This direction explores how immersive environments, digital twins, and multimodal sensing can support richer and more scalable assessment of construction safety performance beyond outcome-only evaluation.
Trustworthy Human–Robot Collaboration
This direction investigates trust, transparency, perceived safety, and adaptive coordination between humans and robotic or automated systems in safety-critical contexts.