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I’m Dr. Zhiyu Lin, a researcher at the intersection of artificial intelligence, computational creativity, and human‑AI collaboration. My work focuses on human-centered, mixed-initiative co-creative tools and on studying how humans and AI learn from each other and improve together, meta-cognitively. I’ve applied these ideas to storytelling, game content generation, and education, and I conduct detailed studies, both quantitatively and qualitatively, of how people interact with these tools.
I am currently a Postdoctoral Fellow at the University of California, Santa Cruz, with the honor of serving the Game User Interaction and Intelligence Laboratory. I earned my Ph.D. in Computer Science from the Georgia Institute of Technology, where I worked in the Entertainment Intelligence Laboratory. In addition to my research, I have hands‑on experience designing game stages that received millions of plays, contributing to open‑source game communities, while engaging with them - experiences that fuel my passion for computational creativity.
Here is my complete list of papers; You can also check out my full CV for my other experience, including industry involvement, talks, and other outputs.
While AI can generate game contents, stories, or music, and many more, the problem is that these tools often feel like a one‑way “black box” that the designer can’t easily steer, which leads to bias, unexpected outputs, and a loss of creative control.
Check out more on my research to see how I put designers at the center stage, letting them guide AI with simple high-level ideas, opening the limitless opportunity of collaborative creation.
When creators and AI share the same level of initiative, computational creativity has the potential of becoming more diverse and accessible for all, making it possible for designers to co-create with powerful generative models while still feeling in control.
Check out my research to see how mixed-initiative co-creativity works, how it’s been tested with real creators, and how you could start collaborating with AI in a way that feels natural and collaborative.
When AI runs into something new, like a changed rule, a missing sensor, or the unique you, it must recognize that surprise and adjust, while learning from your feedback to keep improving and stay in sync with your creative goals.
Check out my research to see how AI spots these challenges, listens to your voice, and continually gets smarter together with you.
When designers and AI co-create, the invisible feelings, curiosity, and motivation that drive the designer are rarely taken into account, which can leave both parties frustrated and make the AI tools less useful to them. By treating “human‑awareness” as a co‑regulated partnership, we give AI tools the chance to listen, adapt, and help designers stay motivated and trusted, turning tool usage into true collaboration.
Check out how we keep creators and users engaged, improve utilization and creativity, and make AI feel like a helpful teammate instead of a black-box algorithm.