AI user experience
Experience Design 2 Course
Spring 2023
Under Professor Tad Hirsch
With Linda Zeng, Kiera Huang, and Victoria Chen
The goal of this project was to create an experience utilizing Artificial Intelligence, bringing the in-person shoe shopping experience, online. This would reduce the amount of shoes returned from incorrect fit.
Through the Trekka app, users are able to scan their feet to be matched to a short list of shoes. User feedback allows the app to learn and recommend better shoes over time.
User Profile
concept development
Initial Brainstorming
The team ultimately decided to design a recommender system to improve the shoe shopping experience.
Concept Refinement
The AI technology would require training data to define ideal footwear compatibilities, and how to process foot dimensions.
user flows
user map
Based on our analysis, we determined that the Evaluation and Selection stages were the most suitable for AI augmentation. The best stage for AI automation was the Evaluation stage. Therefore, we will focus on the Evaluation and Selection stages for our design project.
We focused on these stages to build a clear idea of how Trekka should function, and what values are involved.
discovery
The team created an app storefront mockup to show how Trekka would reach out to users.
scanning process
Trekka’s scanning is performed with a smartphone. Advanced computer vision and machine learning algorithms are used to create powerful 3D foot models. The technology can provide precise measurements of arch height, length, and width, which can be used to recommend appropriate footwear and support health.
user feedback survey
Users will be offered a short survey with an incentive reward. The goal of the survey is to better understand the accuracy of measurement, and the quality of the recommendation, and reflect the data in the system.