I am currently working on Foliage, a transformative way to create presentations using AI.
I worked on HCI and AI research at Columbia and Seoul National University. Previously, I worked as an engineer at Sendbird and the South Korean intelligence sector. I received my MS in Computer Science at Columbia University, where my thesis was on using generative language models for personalized learning. I have undergraduate degrees in Economics and Computer Science from Yonsei University.
I was born in Seoul. I have also lived in New York, Shanghai, and Taipei.
PopBlends: Strategies for Conceptual Blending with Large Language Models. Sitong Wang, Savvas Petridis, Taeahn Kwon, Xiaojuan Ma, Lydia B. Chilton. ACM Conference on Human Factors in Computing Systems (CHI 2023). To appear.
Interfaces for Personalized Language Learning with Generative Language Models. Taeahn Kwon. MS Thesis, Columbia University (2023). Thesis committee: Lydia B. Chilton (Columbia), Brian A. Smith (Columbia), Saavas Petridis (Google).
Captivate! Contextual Language Guidance for Parent–Child Interaction. Taeahn Kwon, Minkyung Jeong, Eon-Suk Ko, Youngki Lee. ACM Conference on Human Factors in Computing Systems (CHI 2022). Best Paper Honorable Mention Award.
Evaluating the Language ENvironment Analysis System for Korean. Margarethe McDonald, Taeahn Kwon, Hyunji Kim, Youngki Lee, Eon-Suk Ko. Journal of Speech, Language, and Hearing Research (2021).
For a full list of publications, please see my Google Scholar page.