Juhoon (Julie) Lee — Ph.D. student, KAIST School of Computing

Translation lives in
the space between
the words.

about · 소개 ↓
01

About 소개

Portrait of Juhoon Lee
Juhoon (Julie) Lee · she/her

I study what gets lost when machines carry our words across languages and how to carry the rest.

I am a Ph.D. student at the KAIST School of Computing, working with Prof. Joseph Seering in the Collaborative Social Technologies Lab (CSTL🏰).

My research tackles the social and cultural flattening that happens in cross-lingual, AI-mediated communication. Combining HCI methodologies with NLP, I work on redefining translation as a situated, socially embedded process beyond a semantic exchange. I explore how the context, the relationship between speakers, and the culture drive how the message and intent are communicated.

I aim to build foundational frameworks where translation technologies become transparent and contextually rich.

Email Google Scholar LinkedIn Twitter
02

Research 연구

01일

Relationship-Aware Translation Evaluation

Developing evaluation metrics beyond semantic scores (BLEU, COMET) that judge a translation by the relationship it travels through.

Evaluation Metrics NLP Interpersonal Context
02이

Interactional Frictions in the Wild

Analyzing the frictions that emerge when people actually use translation tools in multicultural settings.

Empirical Study Multicultural Settings CSCW
03삼

Hyper-Visible Interpreter Agents

Designing persistent, hyper-visible interpreter agents that actively mediate cultural gaps and evolve with the ongoing communication.

Agent Design Human-AI Interaction Cultural Mediation
03

Publications 논문

Conference Papers & Journals

  1. 2025

    Mapping Community Appeals Systems: Lessons for Community-led Moderation in Multi-Level Governance

    Juhoon Lee, Bich Ngoc (Rubi) Doan, Jonghyun Jee, Joseph Seering

    CSCW 2025 DOI ↗

  2. 2025

    Less Talk, More Trust: Understanding Players' In-game Assessment of Communication Processes in League of Legends

    Juhoon Lee, Seoyoung Kim, Yeon Su Park, Jeong-Woo Jang, Juho Kim, Joseph Seering

    CHI 2025 DOI ↗

  3. 2024

    ReSPect: Enabling Active and Scalable Responses to Networked Online Harassment

    Haesoo Kim, Juhoon Lee, Jeong-Woo Jang, Juho Kim

    CSCW 2024 DOI ↗

  4. 2023

    Beyond Instructions: A Taxonomy of Information Types in How-to Videos

    Saelyne Yang, Sangkyung Kwak*, Juhoon Lee*, Juho Kim

    CHI 2023 DOI ↗

  5. 2021

    Data-Driven and Personalized Vocabulary Recommendation for English Learners

    Seoyoung Kim, Seokhun Jeong, Seulgi Choi, Juhoon Lee, Juho Kim

    KSC 2021

Preprints

  1. 2025

    AssurAI: Experience with Constructing Korean Socio-cultural Datasets to Discover Potential Risks of Generative AI

    Chae-Gyun Lim, Seung-Ho Han, EunYoung Byun, et al. (55 authors, incl. Juhoon Lee)

    arXiv preprint arXiv ↗

  2. 2025

    CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale

    Jeanne Choi, DongJae Kang, Yubin Choi, Juhoon Lee, Joseph Seering

    arXiv preprint arXiv ↗

Posters, Demos & Workshop Papers

  1. 2026

    SLALOM: Simulation Lifecycle Analysis via Longitudinal Observation Metrics for Social Simulation ★ Best Paper Nominee

    Juhoon Lee, Joseph Seering

    PoliSim @ CHI 2026: LLM Agent Simulation for Policy Workshop arXiv ↗

  2. 2023

    Look Upon Thyself: Understanding the Effect of Self-Reflection on Toxic Behavior in Online Gaming

    Juhoon Lee, Juho Kim, Jeong-Woo Jang

    CHI 2023 Workshop on Combating Toxicity, Harassment, and Abuse in Online Social Spaces

  3. 2023

    Towards an Experience-Centric Paradigm of Online Harassment: Responding to Calling out and Networked Harassment

    Haesoo Kim, Juhoon Lee, Juho Kim, Jeong-Woo Jang

    CHI 2023 Workshop on Combating Toxicity, Harassment, and Abuse in Online Social Spaces