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🌏❤️!
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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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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Design implications for LLM interfaces:
🔗 Bidirectional intent-output traceability
🔭 Synchronized views as scaffolds for exploration
📌 Progressive commitment — from loose exploration to pinned intents
🗂️ Visible intent spaces to contextualize new articulation
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Key insight: intent communication is cyclic, not linear.
🌀Articulate → explore → stabilize → verify → and loop back to refine.
Supporting the full cycle reduced corrections and cognitive load — shifting users from reactive fixing to actively steering output.
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We built IntentFlow — a research probe for LLM-based writing that supports all four:
🔹 Intent Panel with adjustable dimensions
🔹 Version history with rollback
🔹 Hover-based intent-to-output linking
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GenAI is good at producing a result.
But early-stage design is not about a single result —it is about exploring possibilities.
Our #DIS2026 paper “IdeaBlocks” won an Honorable Mention 🏆
We ask: how can designers express not only what to generate, but how to explore?
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🖥️ Most GUI agents focus on automation -- but what about understanding the *user*?
In our upcoming #CVPR2026 paper, we introduce GUIDE, a benchmark for understanding & assisting users in open-ended GUI tasks! 🎉
When creative professionals share their workflow, hundreds of decisions lie behind it 👀
What if we could capture the reasoning, including the implicit reasoning ☁️, not just the how-to?
What if their AI agent 🤖 understood this and learned to decide the way they would?
➡️🧵
AI agents are taking on more and more of our work (even creativity-related work 😱), but is handing off and reviewing the only way humans and agents can collaborate?
We think there's a better way. 🧵
#Agent#Figma#Design#HAI
AI agents are running complex workflows, and writing full codebases and docs. But how do you verify these outputs at scale?
An LLM judge gives you "3/5" with a broad reason. Which parts caused that score? Any patterns across outputs?
We built Evalet 🔬 to fix this. CHI'26
Pleased to share our upcoming #CHI2026 workshop: Herding CATs: Making Sense of Creative Activity Traces. 📈🎨🐈⬛
We invite 2-4 page position papers on analyzing and understanding the creative process through digital traces.
🔗 https://t.co/MwwNZVCjzT📅 Due: Feb 12, 2026
I am presenting ProMemAssist at #UIST2025!
The demo is funny -- check out how my AI assistant on smart glasses helps me pack 🎒👓
📍Sept 30 Tue | 12:12 PM | Grand Ballroom
Are you interested in capturing professionals' tacit knowledge—like implicit decisions—and reusing it in generative agents 🤖 to better support creative work 👨🏻🎨?
👉 I will present my thesis work at UIST25 Doctoral Symposium (Poster: Tue evening).
See you in Busan! 🇰🇷 #UIST2025
Are you heading to Busan? 🏄♀️🌴🇰🇷
I'll present our paper 🪷BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents at #UIST2025!
📍Oct 1 · 11:12–11:24 AM (Miami Room)
You ask ChatGPT to write a message for:
💼 Credit-stealing colleague → “Building on *my* idea…”
🏠 Messy roommate → “babe wake up new mold just dropped”
Same you. Same task. Different context.
Can LLMs learn this? 🤔
We built CUPID 🏹 to find out.
🔗 https://t.co/JrAdy2SbSV
New paper at #UIST25!
🧠 Wearable AI assistants can support our daily tasks, but poorly timed interventions often hurt more than help.
🕶️ ProMemAssist is a wearable AI assistant that delivers proactive task support—at the right time—by modeling your working memory in real time.
안녕하세요, @kixlab_kaist 에서 만든 📢 공약쏙쏙 시스템📢을 소개합니다! (https://t.co/HnAgGJ8tfR)
🤔공약쏙쏙?
#대선2025 공약을 바탕으로 공약이 가져올 수 있는 사회적 영향, 그리고 '나'에게 어떤 변화가 생�� 수 있을지 LLM (GPT-4o) 을 활용해 자동으로 보여주는 시스템입니다.
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