New technology, such as AI and Machine learning, grows fast and plays a crucial role in improving efficiency and reducing the repeated working load in our daily lives. In the Architecture and Engineering area, AI is widely used in generative design. Generative design is a design exploration process. The software explores all the possible permutations of a solution, quickly generating design alternatives. However, the problem is that the intelligence systems can generate thousands of solutions that difficult for users to distill. This situation even reduces the efficiency of the working flow. The project's approach is to help users make better decision-making and find the best solution to get benefits from new technology. To solve the problem, I designed the iPad-based application named OiT - One in Thousands. OiT is an application focusing on better support, result evaluating, and data visualization for generative design, the target audience is the structural engineering and industrial designer working in the architecture and engineering area. The goal is to help users clearly define the design made by AI, efficiently ranking and picking the design options to support them better. This project presented an interactive interface and a mockup video showing how it benefits users to make better design decisions.
Library of Congress Subject Headings
User interfaces (Computer systems)--Design; Decision making--Data processing; Design--Data processing; Human-computer interaction
Visual Communication Design (MFA)
Department, Program, or Center
School of Design (CAD)
Zhou, Yunsheng, "OiT: A UX design project for better decision making in generative design" (2021). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus