Urban planning information is often complex, technical, and difficult for the general public to interpret. For Metro Vancouver, a key challenge lies in communicating large-scale planning proposals in an accessible, engaging, and easy-to-understand way for non-expert audiences. Traditional tools like static maps, reports, and public documents can create barriers to meaningful public engagement.
Currently, members of the public are expected to understand planning impacts through 2D visualizations and written materials, which often lack spatial clarity and experiential context. This can lead to confusion, disengagement, and limited participation in public consultation processes. There is a clear need for more intuitive ways for people to explore planning information and understand how proposed changes relate to real places. In response, our team is developing an immersive VR-based experience focused on public-facing exploration and map navigation.
The prototype allows users to begin with an overview map and navigate to specific locations of interest, transitioning into a first-person spatial perspective. By prioritizing clear navigation, spatial orientation, and visual cues, the experience translates abstract planning concepts into a more tangible and intuitive format. Our approach emphasizes user-centered design, rapid prototyping, and iterative testing with a focus on usability and clarity. The anticipated outcome is a playable VR prototype that demonstrates a clear navigation framework and spatial exploration flow, serving as a proof of concept for more accessible and engaging public-facing planning communication.
Aova is a fashion-forward AI recording device designed to capture and organize the information people often forget.
Inspired by the idea of an external memory, Aova works as a magnetic clip microphone powered by a large language model. With a simple tap, it records conversations and automatically converts audio into structured text on the user’s phone. Long recordings such as meetings, lectures, or discussions can be summarized into clear and readable notes.
Privacy is a key part of the design. Aova does not store raw audio recordings. Instead, only the summarized text generated by the LLM is saved locally on the user’s device.
Built around the concept of AI-assisted memory, Aova explores how intelligent hardware can help people capture ideas, organize knowledge, and reduce the cognitive burden of remembering everything.
This is a project I participated in during my time at Tencent's TiMi Studio Group. My responsibility was to use cinematic language and visual rhythm to make the cinematic scenes within the game more moving.
My takeaway: This was a project that heavily emphasized teamwork. In Unreal Engine, I was responsible for scene assembly and creating the lighting atmosphere, striving to balance technical standards with artistic expression. Although this project achieved considerable commercial success, what I valued most was the experience of learning how to guide the audience's attention and create resonance through subtle changes in light and shadow.
This was a passion project completed in 45 days with a close friend during my college years . Using a Lego-inspired voxel style, we built a playful industrial world where players can experience the simple satisfaction of mastering a forklift.
My Takeaway: This was my first deep exploration of translating real-world physics into an engaging interactive experience. Even with its simple appearance, I spent weeks refining the level layouts and control feedback . Seeing players in the community enjoy this straightforward fun remains one of my proudest moments.