Design Space Exploration for GenAI
Mar 1, 2025
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1 min read
This research investigates how to systematically explore and structure the design space of generative AI applications. The work combines theoretical frameworks with practical system building.
Key contributions include:
- GUI for GenAI — Advancing GUI design for generative AI through task creativity and complexity analysis (IUI 2024 DC)
- Diagram as Guardrails — Structuring GenAI-assisted hypotheses exploration with interactive shared representations (C&C 2025, IUI 2025 Demo)
- Intelligent Canvas — Enabling design-like exploratory visual data analysis through rapid prototyping, iteration and curation (Preprint)
Authors
Zijian "Jason" Ding, PhD
(he/him)
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.