Generating user personas with AI: Reflecting on its implications for design
Vanessa Sattele, Juan Carlos Ortiz · Proceedings of DRS · 2024
The aim of this research is to analyze and expose risks associated with using AI tools such as Large Language Models and Text to Image Models to create user personas, and initiate a discussion about their application in design practice. First, a model is presented comparing the traditional user research approach with an AI persona generation method. Through a case study involving the creation of personas within the context of Mexico City, a critical analysis is conducted, revealing biases. Possible causes and risks for design practice and education are discussed, as well as potential benefits. Finally, a model for scalability of AI personas and generation of design ideas is presented. The significance of these findings shows the importance for design research to question how AI tools work.