Wei Liane

Papers

Total Citations

H-Index

About

Wei Liane is a researcher at the forefront of human-computer interaction and mixed reality (MR), with a focus on optimizing physical environments through intelligent systems. Her work bridges the gap between human activity recognition and spatial computing, aiming to enhance productivity and personalization in everyday tasks. In her most-cited paper, "Work Surface Arrangement Optimization Driven by Human Activity" (2021, 4 citations), she pioneers a method to guide users in organizing their workspaces using MR devices like HoloLens. By capturing daily activities through onboard cameras, she enables both humans and intelligent robots to adapt their surroundings dynamically. This contribution holds promise for smart homes, assistive robotics, and ergonomic design. Though early in her career, Liane’s research is already shaping how we interact with augmented environments, offering a glimpse into a future where spaces intuitively respond to our behaviors. Her work underscores a commitment to making technology more adaptive and human-centered.