Human-AI Text Co-creation
Oct 1, 2023
·
1 min read
This research thread explores how humans and AI can collaborate effectively in text generation tasks. The work spans from mapping the design space of interactions in co-creation to evaluating specific applications like news headline generation with LLMs.
Key contributions include:
- Design Space Mapping — Mapping the design space of interactions in human-AI text co-creation tasks (CHI 2023 Workshop)
- LLM Evaluation — Harnessing the power of LLMs through the lens of news headline generation (EMNLP 2023)
- AI as Colleagues — Multi-agent systems for structured professional ideation (CHI 2026)
- AI Prompting Humans — Exploring how AI can prompt humans for game design ideas (CHI 2025)
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.