UIUX

This innovation project focuses on developing an advanced generative AI-powered platform designed to visualize consumer preference data for interior design products through intuitive, dynamic preference maps and visualization tools. The aim is to simplify and enhance the process of product selection for both consumers and interior design professionals, significantly streamlining decision-making and procurement processes.
The primary innovation involves integrating generative AI with user-experience (UX/UI) design to create interactive visual representations of complex preference data. Users will be able to clearly visualize their preferences and product matches, significantly improving user engagement and satisfaction. This incremental innovation will enhance current market standards by providing a highly personalized, AI-driven visual tool not yet widely available in the interior design industry.
The UX/UI Designer candidate will lead the conceptualization, design, and testing of the platform’s interactive elements, ensuring an intuitive and seamless user journey. Their key tasks include conducting user research to understand stakeholder needs, developing wireframes and high-fidelity prototypes, executing usability testing, and iteratively refining the design based on feedback and analytics.
Methodologies and techniques applied will include user-centered design principles, rapid prototyping, usability testing (such as A/B testing and heuristic evaluations), and qualitative and quantitative user research. Additionally, the candidate will collaborate closely with AI specialists to align the generative AI capabilities with user interface requirements, ensuring optimal integration of AI-generated visual data.
Ultimately, this project seeks to set a new benchmark for UX/UI standards in AI-driven consumer preference visualization, delivering measurable improvements in consumer satisfaction, engagement rates, and operational efficiency in the interior design and home goods market.

Faculty Supervisor:

Carl Gutwin

Student:

Partner:

Metric Design

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program: