Welcome to my website. My name is Daye Kang. My research interests lie at the intersection of design, human-computer interaction (HCI), and human-AI interaction.

People have access to more data than ever, but more data does not lead to better understanding. My research agenda is to design human-AI interaction that makes data easier to use, understand, and communicate.

I use qualitative methods, including co-design and first-person studies, to understand people’s contexts, then design and evaluate systems that combine visualization and AI to support data sensemaking.

My research has been published at top-tier HCI conferences such as ACM CHI and CSCW, and has received a Best Paper Award and a Best Paper Honorable Mention Award.

I am currently a Ph.D. candidate in Information Science at Cornell University, advised by Malte Jung. Previously, I received my MS in Industrial Design from KAIST, advised by Andrea Bianchi, after receiving a BFA in Visual Communication Design at Hongik University.

My name is pronounced Da-Ye [da ye].

I am on the academic job market for the 2026–27 cycle.

See selected work

Selected work

Publications

  1. CSCW 2025

    ThemeViz: Understanding the Effect of Human-AI Collaboration in Theme Development with an LLM-enhanced Interactive Visual System

    Best Paper Honorable Mention Award
  2. CHI 2025

    Towards Hormone Health: An Autoethnography of Long-Term Holistic Tracking to Manage PCOS

    Best Paper Award
  3. CHI 2021

    ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics

See all publications

Design Projects

UX Design

Lexia in Wonderland UX project
Lexia in Wonderland
2017 Adobe Design Achievement Awards Semifinalist 2017 KSDS Excellence Award 2017 Hongik Excellence Graduation Work
See all UX projects

Graphic Design

Black-and-white graphic design study
Digital Artwork

News