The Diagram is like Guardrails: Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
An interactive shared representation that structures GenAI-assisted hypotheses exploration using diagram-based guardrails.
Zijian "Jason" Ding, PhD
Incoming Postdoctoral Fellow
KAIST School of Computing
PhD in Human-Centered AI
University of Maryland College Park
KAIST School of Computing
PhD in Human-Centered AI
University of Maryland College Park
Incoming Postdoctoral Fellow at KAIST School of Computing, working with Prof. Joseph Seering and Prof. Juho Kim. PhD in Human-Centered AI from the University of Maryland, College Park (Jun 2026).
8+ years of research in Human-Centered AI, 5+ years in Generative Models.
20+ publications at CHI, C&C, EMNLP, CSCW, UIST, IUI.
Can AI Prompt Humans? Multimodal Agents Prompt Players' Game Design Ideas
Multimodal agents that prompt players to generate game design ideas, exploring whether AI can effectively prompt humans.
Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis through Rapid Prototyping, Iteration and Curation
Formulating or Fixating: Effects of Examples on Problem Solving Vary as a Function of Example Presentation Interface Design
An interaction-oriented theoretical framework for understanding creative inspiration from examples.
joel-chan
Advancing GUI for Generative AI: Charting the Design Space of Human-AI Interactions through Task Creativity and Complexity
How Diverse Initial Samples Help and Hurt Bayesian Optimizers
eesh-kamrah
Harnessing the Power of LLMs: Evaluating Human-AI Interaction through the Lens of News Headline Generation
Evaluating human-AI interaction with LLMs through the task of news headline generation.
