PhD student in @kixlab_kaist, SoC, KAIST. Interested in HAI, Human-AI symbiosis, Generative AI and Education, and tech with Good influence on the world🌏❤️!
AI can see what you do. But can it see why you do it?
Our #UIST2026 paper “Contexty” explores how to bridge this gap by turning users’ evolving thoughts into a shared, inspectable context for AI. 🧵
When you're working with a GenAI tool — how do you actually communicate what you want?
Our #DIS2026 paper "IntentFlow" investigates how LLM interfaces can support the full process of intent communication 🧵
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🔎 How can we make LLM interactions more cooperative and human-like?
We applied Gricean Maxims — principles for good conversation — to human-LLM interaction and derived 9 design insights!
Come see our LBW poster on Wed at #CHI2025! Let’s talk on #HAI, #AIAlignment, #UserIntent 😆
I'm presenting my paper "DataDive: Supporting Readers’ Contextualization of Statistical Statements with Data Exploration" at @ACMIUI 2024... in an hour 😂 Please come check out if you're attending IUI! You can check out the details at datadive.kixlab.org!
Excited to be in Greenville SC for #IUI2024! Tomorrow at 11:10 ET, I’ll be presenting this paper, which I collaborated with Jueon, @seoy_kim , @dr_jpark , and @imjuhokim . The presentation is part of the “HCAI, Bias and Fairness in AI track. Looking forward to seeing you there😆
Have you ever experienced dissatisfaction while using ChatGPT? How did you address this?
We explored users’ dissatisfaction with ChatGPT responses: types, resolving tactics, and the effect of knowledge level.
📃: arxiv.org/abs/2311.07434
🏠: chatgpt-analysis.kixlab.org
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