Renmin University of China
DEKE Lab & School of Information Information Building 323 zhuqian2025@ruc(dot)edu(dot)cn
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My research interests lie broadly in the intersections of Human-Computer Interaction (HCI), Visualization (VIS) and Extended Reality (XR/AR/VR), with a particular focus on immersive data visualization and interaction. Through my research, I aim to design next-generation immersive interfaces and spatial computing systems that fundamentally transform how humans perceive and interact with data.
I am particularly interested in:
- Interaction with Data Visualization: designing human-data interaction tools for data visualization.
- Interaction Techniques in AR/VR: creating efficient interaction methods for immersive applications.
- Interactive Human-AI Experiences: exploring ways to enhance human-AI interaction in AR/VR.
Previously, I completed my PhD in Computer Science and Engineering at Hong Kong University of Science and Technology (HKUST) where I was advised by Prof. Xiaojuan Ma.
We welcome BS/MS students and visiting interns/scholars. Please email me if your are interested in research about HCI, XR/AR/VR and Data Visualization.
Selected Publications
Ego vs. Exo and Active vs. Passive:
Investigating the Individual and Combined Effects of Viewpoint and Navigation on Spatial Immersion and Understanding in Immersive Storytelling.
Signaling Human Intentions to Service Robots:
Understanding the Use of Social Cues during In-Person Conversations.
Danmaku Avatar:
Enabling Asynchronous Co-viewing Experiences in Virtual Reality via Danmaku.
CompositingVis:
Exploring Interactions for Creating Composite Visualizations in Immersive Environments.
Make Interaction Situated:
Designing User Acceptable Interaction for Situated Visualization in Public Environments.
From Reader to Experiencer:
Design and Evaluation of an Interactive VR Data Story for Promoting the Situation Awareness of Public Health Threats.
Towards Feature Engineering with Human and AI's Knowledge:
Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design.
The Contemporary Art of Image Search:
Iterative User Intent Expansion via Vision-Language Model
Bias-Aware Design for Informed Decisions:
Raising Awareness of Self-Selection Bias in User Ratings and Reviews.
"Unfold and Go Touch":
A Portable Method for Making Existing Touchscreens Accessible to Blind and Low Vision People in Self-Service Terminals.
