AIGOT

AIGOT

AIGOT

TIMELINE

Sep-Dec 2022

TEAM

Effie Zhu

Shiya Wu

Michael Tu

Colin Feng

My ROLE

Market Research

User Research

Technical Research

UI/UX Design

Prototyping

Project Managing

TOOL

Runway ML

Unity

TIMELINE

May-Aug 2023

TEAM

Effie Zhu

Isabel Li

My ROLE

Research

UI/UX Design

Prototyping

Project Managing

TOOL

Runway

Python

ChatGPT

Bing AI

Google Bard (Gemini)

Browse AI

Relevance AI

TIMELINE

May-Aug 2023

TEAM

Effie Zhu

Isabel Li

My ROLE

Research

UI/UX Design

Prototyping

Project Managing

TOOL

Runway

Python

ChatGPT

Bing AI

Google Bard (Gemini)

Browse AI

Relevance AI

AIGOT

UI/UX Design
AI/ML
AR

A mall ecosystem blends online and in-store shopping by featuring digital-native brands. It uses computer vision and AR to offer a seamless and efficient experience.

Background

About 1/3 of the shopping malls in US have been enclosed, and a lot of existing malls are facing declining sales and vacancy.

challenge

How might we revitalize dying malls?

Our Solution

AIGOT is an ecosystem that offers a unique and efficient experience for customers while helping businesses engage more with customers.

Due to time constraints, we prioritized the customer side first, and for the business side, we created a proof of concept and will further develop in the next step.

Customer Edition

Our app gives customers easy access to information on every event, store, and product in the mall. With AR navigation and an AI sales assistant, they can shop efficiently and make informed choices.

Centralized Directory
AI Sale Assistant

Business Edition

We developed a proof of concept with Runway ML and Unity to test if AI can recognize customer gestures. With the computer vision, the businesses can get better customer insights and manage the store more easily.

Research

The main objective for the class was to learn and practice user-centered research methods to address sustainability issues. Over the first seven weeks of the course, we focused on conducting both secondary and primary research to understand why U.S. malls are declining and identify our target users based on their demographics, behaviors, preferences, and needs.

Definition of Mall

Indoor/Outdoor complex with a variety of retail stores

Secondary Research

The main objective for the class was to learn and practice user-centered research methods to address sustainability issues. Over the first seven weeks of the course, we focused on conducting both secondary and primary research to understand why U.S. malls are declining and identify our target users based on their demographics, behaviors, preferences, and needs.

Key Findings

Why are malls dying?

Primary Research

Insights

Our Vision

How might we bring fresh brands to dying malls and attract young generation?

Usability Testing

Prior to developing our final design, we created low-fidelity paper prototypes and conducted usability testing to evaluate our proposed solutions. After analyzing the test results, we made refinements to enhance the user experience and designed our final prototypes.

User Scenario

After we finalized the UI and prototypes for our product, we created two scenario videos that showcased how AIGOT works in a more realistic context. These scenarios were developed based on our user types, and served to provide a more immersive experience for our viewers.

ScenaRio 1

To buy products with minimal time and effort spent in the mall.

ScenaRio 2

Don't know what to do specifically but want to get out of the house.

Copyright © 2025 Effie Zhu. All Rights Reserved.

Copyright © 2025 Effie Zhu. All Rights Reserved.

Copyright © 2025 Effie Zhu. All Rights Reserved.