NetLogo Chat (2023-Present)
In early 2023, I designed and studied NetLogo Chat, an innovative LLM-powered interface designed to enhance learning and practice in NetLogo, a leading language for agent-based modeling (ABM). My responsibilities include:
- Led a technical and research team with 5 undergraduate and graduate students to design the first human-AI interface for agent-based modeling. – Organized a demonstration-based interview study. From a pool of more than 200 volunteers from all over the world, we interviewed 30 participants from academia and industry. – Conducted qualitative analysis to reveal the perception, behavioral, and knowledge gaps between ABM learners with more techncial expertise (“experts”) vs. less (“novices”) (CHI 2024).
Related Publications
- ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-Based Modeling and Programming. Proceedings of FabLearn/Constructionism 2023
- Chen, J., Lu, X., Du, Y., Rejtig, M., Bagley, R., Horn, M., & Wilensky, U. (2024, May). Learning agent-based modeling with LLM companions: Experiences of novices and experts using ChatGPT & NetLogo chat. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-18).