Heechan Lee, 이희찬

I'm a Master's student in the School of Computing at KAIST. I'm working in Collaborative Social Technologies Lab(CSTL) and KAIST Interaction Lab(KIXLAB), where I'm advised by Prof. Joseph Seering and Prof. Juho Kim.

I am interested in Human-AI Interaction, with a focus on designing interactive systems for collaboration between humans and AI agents. My research begins from the question of why people struggle to steer AI systems toward their goals. I study this challenge from two directions: (1) how users can express their intent and provide relevant context to AI agents, and (2) how they can evaluate AI behaviors and provide feedback in return. During my Master’s research, I have explored interfaces that ground multi-agent collaboration in users’ working contexts, as well as interfaces that help users evaluate large-scale AI responses through functional fragmentation. Across these projects, I have found that both prompting AI and auditing AI depend on how users make sense of their data, context, and model outputs. I aim to design interactive systems that support sensemaking and evaluation, helping a broad range of users—from everyday knowledge workers to AI developers—collaborate with AI systems.