PATH GBC

Indoor wayfinding reimagined through augmented reality.

Overview

PATH GBC is an augmented reality wayfinding prototype designed to help students navigate George Brown College’s School of Design. Our team focused on improving the confusing path to the Maker Lab by creating an AR experience using image anchors, on-screen arrows, and guided floor-by-floor navigation. The project combines low-fidelity testing, a full AR prototype in Reality Composer Pro, and a hosted web “home hub” where users can choose their floor and launch the AR experience.

MY ROLE

  • Designed the overall project presentation and visual language, including layout and motion refinement for prototype videos
  • Developed the homepage using Antigravity, and placed all AR directional arrows using Reality Composer Pro
  • Planned the user flows and interactions, ensuring the experience was intuitive and easy to test
  • Supported the team with decision-making and visual clarity throughout the design and development process

INSPIRATION

Inspiration 17 Inspiration 18 Inspiration 19 Inspiration 20 Inspiration 21 Inspiration 22 Inspiration 23 Inspiration 24 Inspiration 25 Inspiration 26 Inspiration 27 Inspiration 28

PROBLEM

We started by identifying that indoor navigation inside the School of Design is confusing and inconsistent, especially for first-time users. We mapped the existing routes, documented pain points, and built a simple, testable concept focused on guiding students to the Maker Lab. The process combined sketches, experience mapping, rapid prototyping, anchor testing, and a high-fidelity AR build in Reality Composer Pro, supported by a web-based floor selector that launches the correct AR scene.

OUTCOME

The prototype is a functional AR wayfinding system that guides users across all three floors using posters, arrows, and on-screen cues. Users scan a QR code, pick a floor, and immediately see AR directions to reach the Maker Lab. The outcome includes an end-to-end AR experience, a branded homepage prototype, and a full walkthrough video demonstrating both low-fidelity and high-fidelity flows. The solution shows how AR can make indoor navigation at GBC clearer and easier.

MAIN TOOLSET

Antigravity Antigravity
ChatGPT Chat GPT
Figma Figma
Illustrator Illustrator
Photoshop Photoshop
After Effects After Effects
Reality Composer Reality Composer
Style Guide
PATH GBC sketch 1 PATH GBC sketch 2 PATH GBC sketch 3

Low-Fidelity Prototype Video

Screen 1 Screen 2 Screen 3
Screen 1 Screen 2

Final Prototype Video

Final Slide Presentation

CREDITS

Created in collaboration with Chloe Chu and Eira Ly and under the guidance of GBC Professor Steven Reaume.

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