Simulating UX with AI: Introducing UXAgent episode artwork

EPISODE · Jun 21, 2025 · 17 MIN

Simulating UX with AI: Introducing UXAgent

from AI Odyssey · host Anlie Arnaudy, Daniel Herbera and Guillaume Fournier

What if you could simulate a full-scale usability test—before involving a single human user? In this episode, we explore UXAgent, a groundbreaking system developed by researchers from Northeastern University, Amazon, and the University of Notre Dame. This tool leverages Large Language Models (LLMs) to create persona-driven agents that simulate real user interactions on web interfaces.UXAgent's innovative architecture mimics both fast, intuitive decisions and deeper, reflective reasoning—bringing realistic and diverse user behavior into early-stage UX testing. The system enables rapid iteration of study designs, helps identify potential flaws, and even allows interviews with simulated users.This episode is powered by insights generated using Google’s NotebookLM. Special thanks to the authors Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, and Dakuo Wang.🔗 Read the full paper here: https://arxiv.org/abs/2504.09407

Episode metadata supplied by the publisher feed · Published Jun 21, 2025

What if you could simulate a full-scale usability test—before involving a single human user? In this episode, we explore UXAgent, a groundbreaking system developed by researchers from Northeastern University, Amazon, and the University of Notre Dame. This tool leverages Large Language Models (LLMs) to create persona-driven agents that simulate real user interactions on web interfaces.UXAgent's innovative architecture mimics both fast, intuitive decisions and deeper, reflective reasoning—bringing realistic and diverse user behavior into early-stage UX testing. The system enables rapid iteration of study designs, helps identify potential flaws, and even allows interviews with simulated users.This episode is powered by insights generated using Google’s NotebookLM. Special thanks to the authors Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Zheshen Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, and Dakuo Wang.🔗 Read the full paper here: https://arxiv.org/abs/2504.09407

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What if you could simulate a full-scale usability test—before involving a single human user? In this episode, we explore UXAgent, a groundbreaking system developed by researchers from Northeastern University, Amazon, and the University of Notre...

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