NLP/LLM Interest Group

Title: Rethinking User Interface Design in the Era of AI Agents

Abstract: Artificial intelligence agents are rapidly reshaping how users interact with digital systems. From embedded copilots to autonomous task executors, agents are no longer confined to chat interfaces—they are becoming integral components of modern user interfaces.

In this talk, we will share a series of real-world cases and practical lessons drawn from building agent-driven systems in research and data-intensive environments. We will examine how agents are currently embedded into interfaces, what architectural decisions influence usability and trust, and what design trade-offs emerge when combining autonomy with human control. We will also discuss how AI agent tools themselves are transforming the UI design workflow—from rapid prototyping to code generation and interaction simulation.

Huan He, PhD, is a research scientist in biomedical informatics and data science at Yale University School of Medicine. His primary research areas revolve around visual analytics and their applications in healthcare-related research. Currently, his work is focused on designing and developing visual analytics systems using natural language processing (NLP) and machine learning (ML) technologies, with the goal of facilitating data exploration for health-related clinical questions.