collaborators

5 papers

cs.HC2026

One Is Not Enough: How People Use Multiple AI Models in Everyday Life

Seunghwa Pyo, Donggun Lee, Jungwoo Rhee +2

People increasingly use multiple Multimodal Large Language Models (MLLMs) concurrently, selecting each based on its perceived strengths. This cross-platform practice creates coordi…

cs.HC2026

"Oops! ChatGPT is Temporarily Unavailable!": A Diary Study on Knowledge Workers' Experiences of LLM Withdrawal

Eunseo Oh, Suyoun Lee, Jae Young Choi +2

LLMs have become deeply embedded in knowledge work, raising concerns about growing dependency and the potential undermining of human skills. To investigate the pervasiveness of LLM…

cs.HC2026

Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity

Syemin Park, Soobin Park, Youn-kyung Lim

LLMs offer new creative possibilities for writers but also raise concerns about authenticity and reader trust, particularly when AI involvement is disclosed. Prior research has lar…

cs.HC2026

Constella: Supporting Storywriters' Interconnected Character Creation through LLM-based Multi-Agents

Syemin Park, Soobin Park, Youn-kyung Lim

Creating a cast of characters by attending to their relational dynamics is a critical aspect of most long-form storywriting. However, our formative study (N=14) reveals that writer…

cs.HC2025

Reimagining Personal Data: Unlocking the Potential of AI-Generated Images in Personal Data Meaning-Making

Soobin Park, Hankyung Kim, Youn-kyung Lim

Image-generative AI provides new opportunities to transform personal data into alternative visual forms. In this paper, we illustrate the potential of AI-generated images in facili…