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. 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 permeating every aspect of our lives and the tools we use, literacy in these areas and the ability to use these tools are becoming a critical part of how we work, communicate, and learn with others. My research aims to support this need by augmenting our intelligence in areas such as learning, creativity, and sensemaking. I am particularly interested in creating new techniques, tools, and systems that leverage dynamic, layered representations and computational methods/AI across both 2-D (e.g., screen) and 3-D spaces (e.g., VR/AR).
During my Ph.D., I investigated this in the context of teaching programming. To help make sense of abstract concepts, languages, and procedures in programming, I explored how comics can be used to represent them in a concrete manner. Specifically, I introduced a new concept called coding strip, a form of comic strip with corresponding code, and developed tools for designing, creating, and using coding strips—design methods, creativity support tools, and visual programming environment.
If you want to discuss collaboration opportunities, feel free to get in touch! (sangho.suh at uwaterloo dot ca)
Human-Computer Interaction, Human-AI Interaction, Educational Technology, Creativity Support, VR/AR
For more details, check my cv.
|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|
|Apr 30, 2022||Joined Design Lab and Creativity Lab @ UC San Diego as Postdoc!|
|Apr 27, 2022||Talk @ Google - “Creating Opportunities to Move Up and Down the Ladder of Abstraction”: Generating Comics from Code with Story Ideation, Auto Comic Generation, and Generative AI|
selected publications [full list]
- UISTCodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven StorytellingIn ACM Symposium on User Interface Software and Technology (UIST) 2022
- DIS Best Paper
Mention AwardPrivacyToon: Concept-driven Storytelling with Creativity Support for Privacy Concepts 🎖In ACM SIGCHI Conference on Designing Interactive Systems (DIS) 2022
- IUILeveraging Generative Conversational AI to Develop a Creative Learning Environment for Computational ThinkingIn 27th Annual Conference on Intelligent User Interfaces (IUI) 2022
- SIGCSEUsing Comics to Introduce and Reinforce Programming Concepts in CS1In ACM Technical Symposium on Computer Science Education SIGCSE 2021
- VL/HCCCoding Strip: A Pedagogical Tool for Teaching and Learning Programming Concepts through ComicsIn IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) 2020
- CHICuriosity Notebook: A Platform for Learning by Teaching Conversational AgentsIn Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems 2020
- NIPSRe-VACNN: Steering Convolutional Neural Network via Real-time Visual AnalyticsIn Future of interactive learning machines workshop at the 30th annual conference on neural information processing systems (NIPS) 2016
- ICDM Best Student
Paper AwardL-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization 🏆In 2016 IEEE 16th International Conference on Data Mining (ICDM) 2016