9500 Gilman Dr
La Jolla, CA
I am a postdoctoral researcher in the Design Lab and Creativity Lab at the University of California, San Diego. My research focuses on (1) making complex, technical information accessible, (2) designing educational tools and resources, and (3) developing AI-powered systems that advance our creativity and intelligence. I earned my Ph.D. in Computer Science from the University of Waterloo where I was advised by Edith Law and was a member of the Human-Computer Interaction Lab.
With programming, data, and AI transforming every aspect of our lives and the tools we use, literacy in these areas is becoming a critical part of how we work, learn, think, and make sense of complex ideas and systems powered by them. However, they are complicated and often require learning abstract concepts, langauges, and procedures. How can we make them more accessible? How can we improve how think, learn, and communicate? How can we leverage AI to augment our intelligence in areas such as learning, creativity, and sensemaking?
In my research, I leverage theories of cognition, communication, and learning to answer these questions. Specifically, I have been interested in (1) how we can help people think, communicate, learn, and interact at multiple levels of abstraction and (2) how we can represent and scaffold complex information and knowledge using (visual) narratives.
During my Ph.D., I explored these questions in the context of teaching programming. I introduced a new concept called coding strip, a form of comic strip (concrete) with its corresponding code (abstract), and developed tools for designing, creating, and using coding strips—design methods, creativity support tools, and a visual programming environment that generates comics from code.
If you want to discuss collaboration opportunities, feel free to get in touch! (sanghosuh at ucsd dot edu)
Human-Computer Interaction, Human-AI Interaction, Computing Education
I received B.S. in Computer Science from Korea University where I worked with Jaegul Choo to develop data mining algorithm and visual analytics for convolutional neural network.
03/14 ~ 03/19, 2023 @ Toronto, Canada - Attending SIGCSE’23
09/2? ~ 10/1?, 2023 @ Tokyo, Japan & Seoul, Korea - Home for break! Shoot me an email if you want me to give a talk or want to just grab coffee!
|Apr 28, 2023||“Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing” is accepted at DIS 2023!|
|Feb 1, 2023||Talk @ Design Lab and Interactive Computing Seminar (02.08) - “Toward Meaningful Interaction with Complex Information”|
|Nov 8, 2022||Received 2 x “Special Recognitions for Outstanding Reviews” for CHI 2023 papers|
|Oct 31, 2022||Presented CodeToon at UIST 2022! [Talk]|
|Oct 13, 2022||CodeToon was covered in TechXplore! [Article]|
|Aug 5, 2022||“CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling” is accepted at UIST 2022!|
|Jun 13, 2022||Our DIS 2022 paper received Best Paper Honorable Mention Award!🎖|
|Jun 8, 2022||Taught Experiment Design at University of Toronto’s Human-AI Interaction Research School|