7 papers
Contexty: Capturing and Organizing In-situ Thoughts for Context-Aware AI Support
Yoonsu Kim, Chanbin Park, Kihoon Son +2
During complex knowledge work, people engage in iterative sensemaking: interpreting information, connecting ideas, and refining their understanding. Yet in current human-AI collabo…
"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction
Kihoon Son, Hyewon Lee, DaEun Choi +6
As agents move into shared workspaces and their execution becomes visible, human-agent collaboration faces a fundamental shift from sequential delegation to concurrent co-creation.…
Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
Yoonsu Kim, Hyoungwook Jin, Hayeon Doh +6
Students' handwritten math work provides a rich resource for diagnosing cognitive skills, as it captures intermediate reasoning beyond final answers. We investigate how current lar…
IntentFlow: Investigating Fluid Dynamics of Intent Communication in Generative AI
Yoonsu Kim, Kihoon Son, Seoyoung Kim +2
Generative AI shifts interaction toward intent-based outcome specification, despite user intents being inherently vague, fluid, and evolving. While a growing body of HCI research h…
Applying the Gricean Maxims to a Human-LLM Interaction Cycle: Design Insights from a Participatory Approach
Yoonsu Kim, Brandon Chin, Kihoon Son +2
While large language models (LLMs) are increasingly used to assist users in various tasks through natural language interactions, these interactions often fall short due to LLMs' li…
LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
Minsun Kim, SeonGyeom Kim, Suyoun Lee +11
This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education. Leveraging LLMs, the dashboard facil…