Mentor: Yue Li; Department of Computing, School of Advanced Technology, Xi'an Jiaotong-Liverpool University

D-IFSC is an interactive sport climbing data platform designed and developed using HTML, CSS, and JavaScript to enhance usability and engagement for both novice and expert users. It integrates large-scale competition and athlete data extracted and processed from the IFSC website via Python and Selenium, and features domain-specific visualizations—including radar, chord, and bubble charts—optimized through iterative user research to support intuitive analysis, improve comprehension, and accommodate users with diverse backgrounds.

Related publication:Interactive Visualization of Sport Climbing Data. (In IFIP Conference on Human-Computer Interaction) [DOI] [pdf]

Mentor: Yuji Dong; Department of Computing, School of Internet of Things, Xi'an Jiaotong-Liverpool University

UnIEM (Unified Interactive Environment Model) is a novel interaction model designed to enable real-time reconfiguration of Distributed User Interfaces (DUIs) across multiple IoT devices in dynamic environments. The system is built on a modular framework featuring custom UI component mapping and a central agent system (DuiAgent) that manages, distributes, and adapts interface elements based on user preferences, accessibility needs, and contextual factors. The model was implemented through an application on HarmonyOS and validated via a multi-device video migration app in an educational setting, demonstrating inclusive, user-driven interface customization and showcasing expertise in interaction design, smart IoT ecosystems, and user-centered development.

Related publication:A Re-configurable Interaction Model in Distributed IoT Environment [DOI] [pdf]

D-IFSC is an interactive sport climbing data platform designed and developed using HTML, CSS, and JavaScript to enhance usability and engagement for both novice and expert users. It integrates large-scale competition and athlete data extracted and processed from the IFSC website via Python and Selenium, and features domain-specific visualizations—including radar, chord, and bubble charts—optimized through iterative user research to support intuitive analysis, improve comprehension, and accommodate users with diverse backgrounds.

Related publication:Digital Corpse Donator - Caring Digital Burial Process (Art project at The 12th International Symposium of Chinese CHI) [Exhibition/ Event/ Festival] [certificate]

OneClick is a lightweight Android application designed to provide efficient, customizable access to apps and actions through dynamic shortcuts. Built with an object-oriented architecture, the system integrates gesture recognition, floating windows, and a real-time shortcut management system powered by a purpose-built data structure for efficient storage and retrieval. The app’s UI/UX was refined through comprehensive quantitative and qualitative usability research, ensuring simplicity and minimal cognitive load for users.

Maple Valley is a immersive Virtual Reality (VR) game, developed using Unity 3D and C++ scripting, emphasizes exploration, gathering, crafting, and building in an interactive environment. It features a VR-adaptive interaction system designed for seamless engagement with the inventory, utilizing location-based detection aligned with intuitive human behavior to ensure natural and effortless gameplay.
See full demo

This project involved designing and implementing a custom TCP-based file synchronization protocol in Python to enable efficient and reliable file sharing between two PCs. Built using Object-Oriented Programming (OOP), the system is structured around three key components—File Scanner, Listener, and Downloader—each with specialized functions. A custom header data structure supports file splitting and error detection, allowing large files to be broken into manageable chunks for optimized memory usage, transmission efficiency, and prevention of issues like infinite loops or premature overwriting during transfer. See main code (.py)

Torch is a vibration-feedback guiding glove designed to translate distance information into haptic signals, enabling blind individuals to navigate indoor environments more independently. The design was grounded in accessibility research, incorporating user interviews and behavioral analysis to uncover key pain points. As we identified the gap between the design with prominent visibility in existing assistive devices and users with a high need for self-independence through interviews. Implemented using Arduino, the glove was tested and quantitatively evaluated to enhance user experience and effectiveness in real-world indoor scenarios. Enhanced user autonomy and dignity while ensuring safety in emergency situations.