Munyeong Kim | 김문영

Munyeong Kim | 김문영

he/him

M.S. Candidate

Human-AI Agent Interaction and AI Memory

I am Munyeong Kim (김문영), an M.S. Candidate in the Department of Computer Science and Operations Research (DIRO) at Université de Montréal.

My research focuses on human-AI agent interaction, especially the memory systems that interactive agents build over time. I study what agents remember through interaction, how those memories can be refined, and how users can shape or design them.

Current Focus

Human-Computer Interaction, Human-AI interaction, shared memory between humans and AI agents, interfaces that support human productivity, agentic decision-making and human behavior simulation.

Find Me

Google Scholar, LinkedIn, X, UdeM HCI Lab, Mila

CV

Click here. Current version: Nov. 19, 2025.

Publications

  • Priyan Vaithilingam, Munyeong Kim, Frida-Cecilia Acosta-Parenteau, Daniel Lee, Amine Mhedhbi, Elena L. Glassman, and Ian Arawjo. "Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale." UIST 2025. DOI
  • Munyeong Kim and Sungsu Kim. "Generative AI in Mafia-like Game Simulation." arXiv preprint, 2023. Earlier archival/preprint version of the project. arXiv
  • Munyeong Kim. "GPTs in Mafia-like Game Simulation." CHI 2024 Student Research Competition. Conference version of the earlier project; research advised by Sungsu Kim. ACM Digital Library

For a fuller list, see Google Scholar.

Talks

  • "Creating General User Models from Computer Use." Mila HCAI Reading Group, Mila - Quebec Artificial Intelligence Institute, Montréal, QC, Canada, August 5, 2025.
  • "Research Previews: Metaphors for Memory & dBlocks." Mila HCAI Reading Group, Mila - Quebec Artificial Intelligence Institute, Montréal, QC, Canada, February 18, 2026. Co-presented with Avinash Bhat (McGill) and Patrick Yung Kang Lee (U of T).

Volunteer

  • Student Volunteer (Photographer), ACM UIST 2025, Busan, Republic of Korea.