Woei-Chyi Chang
Purdue University West Lafayette, University of Indianapolis
Papers
8
Total Citations
80
H-Index
5
About
Woei-Chyi Chang is an emerging researcher at the forefront of human-robot interaction and autonomous systems in the construction industry. Their work addresses one of the field's most pressing challenges: preparing human workers to safely and effectively collaborate with increasingly intelligent machines, including robots, drones, and AI-driven assistants. Chang's research spans trust dynamics, mental workload, situational awareness, and responsibility attribution in worker-robot and worker-drone teaming scenarios — areas that will define the future of construction safety and productivity. Among their most influential contributions is a widely cited systematic review establishing a foundational framework for human-robot trust in construction (27 citations), alongside empirical investigations into how system failures and faulty robots erode worker trust (12 citations) and how responsibility attribution shapes collaboration outcomes (9 citations). Chang has also pioneered the use of mixed-reality environments to simulate high-risk construction contexts, enabling nuanced study of attentional allocation and distraction during drone interactions. Their personalized trust prediction modeling further advances the field toward adaptive human-autonomy teaming. Accumulating over 80 citations within a remarkably short publication window, Chang's scholarship is rapidly shaping how researchers and industry practitioners understand the human dimensions of automated construction environments.
Research Focus
Key Achievements
Top Papers
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