Design Space Exploration for GenAI

Mar 1, 2025 · 1 min read
projects

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)
Design Space GenAI HCI
Zijian "Jason" Ding
Authors
Zijian "Jason" Ding (he/him)
PhD Candidate
5th-year PhD candidate at University of Maryland, College Park. 8+ years of research in Human-Centered AI, 5+ years in Generative Models. 20+ publications at CHI, C&C, EMNLP, CSCW, UIST, IUI.