Peer-reviewed research
Publications
Selected work across human-AI interaction, personal informatics & health, qualitative research tools, and data storytelling.
CSCW 2025🏅 Honorable Mention Award
ThemeViz: Understanding the Effect of Human-AI Collaboration in Theme Development with an LLM-enhanced Interactive Visual System
Daye Kang, Zhuolun Han, Jiahe Tian, Muhan Zhang, and Jeff Rzeszotarski
This paper explores the potential role of AI, e.g., large language models (LLMs), in supporting theme development in thematic analysis. While prior applications of AI in qualitative data analysis have focused on supporting coding, we investigate whether LLMs can effectively contribute as collaborators in the more abstract and conceptual phases of qualitative analysis, specifically theme development. We designed ThemeViz, an interactive system that uses GPT-4 to generate and visualize multiple versions of themes based on user input while allowing researchers to maintain control through manual coding and theme development.
CHI 2025🏆 Best Paper Award
Towards Hormone Health: An Autoethnography of Long-Term Holistic Tracking to Manage PCOS
Daye Kang, Jingjin Li, Gilly Leshed, Jeff Rzeszotarski and Xi Lu
Polycystic ovary syndrome (PCOS) is a common hormonal disorder affecting 11–13% of women of reproductive age, characterized by a wide range of symptoms that varies among individuals. While self-tracking tools help PCOS patients to monitor their symptoms and find personalized treatment, they often focus on regular periods of healthy women with inadequate support for the personalization and long-term holistic tracking necessary for managing complex chronic conditions like PCOS. The first author (who has PCOS) conducted an autoethnographic study of holistic self-tracking over ten months; our results highlight the challenges of personalized, holistic, long-term tracking and provide design implications for tracking tools that are more inclusive and sustainable.
CSCW 2024
Challenges and Opportunities for Tool Adoption in Industrial UX Research Collaborations
Daye Kang, and Jeff Rzeszotarski
Qualitative UX research practitioners analyze data to comprehend users’ needs and synthesize implications for future design. Working with multiple stakeholders is inevitable in modern product development, and in industry, coordination and collaboration add pressures to already laborious qualitative data analysis tasks. We investigate how multi-stakeholder collaboration specifically affects industry qualitative data analysis practices — the challenges practitioners face, limitations of current tools, and opportunities for computer-supported cooperative work.
CHI 2021
ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics
Daye Kang, Tony Ho, Nicolai Marquardt, Bilge Mutlu, Andrea Bianchi
ToonNote is a novel technique for representing computational notebooks in the form of interactive data comics. ToonNote provides a high-level, curated narrative of the dataset in Comic View. Readers can focus on data storytelling, and not be hindered by code, unnecessary outputs, or markdown — and can switch back to the Notebook View when needed.
IMWUT 2019
HeyTeddy: Conversational Test-Driven Development for Physical Computing
Yoonji Kim, Youngkyung Choi, Daye Kang, Minkyeong Lee, Tek-Jin Nam, Andrea Bianchi
Physical computing is a complex activity that consists of different but tightly coupled tasks: programming and assembling hardware for circuits. We propose a general-purpose prototyping tool based on conversation. HeyTeddy guides users during hardware assembly by providing additional information on requests or by interactively presenting the assembly steps to build a circuit.
DIS 2019
Designing Internal Structure of Chocolate and Its Effect on Food Texture
Yujin Lee, Jee Bin Yim, Daye Kang, Hyeon-Beom Yi, Daniel Saakes
We explored the effects of the internal structure on the texture of chocolate by designing, building, and testing chocolates with different internal structures and internal chocolate percentage. Multiple layers of patterned chocolate were stacked as a fabrication method; each layer was fabricated using a silicone mold made from a 3D-printed model.
KSDS 2017
Lexia in Wonderland: Korean Education Service for Children with Dyslexia
Daye Kang, Hye-Ryeong Kim, Ji-Hae Lee, Jae Young Yun
Treating dyslexia during childhood is very important. In Korea, this is not the case since the condition is not well understood, and there is a limited number of medical centers that offer treatment for it. We propose an education app for dyslexic children ages 5–10 in Korea that helps children through active learning — teaching Korean phonics using ‘nonwords’ in a fun and engaging way so they can be treated at home.
KSDS 2017
Nudge Design to Increase Physical Activities for Hospitalized Children
Daye Kang, Hye-Min Choi, Ka-Hyun Kim, Younjoon Lee
Hospitalized children are often asked to regularly walk in the hallway to stay active. However, the hallway is usually dull and empty. We created wallpapers and floor footprint stickers that use nudge design to be fun and engaging — footprint stickers promote walking and leg stretches while the wallpaper contains stories that add fun moments.
