activity
20242026
most citedUnveiling Disparities in Web Task Handling Between Human and Web Agent

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.HC2026

"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.…

cs.HC2025

ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference

Kihoon Son, DaEun Choi, Tae Soo Kim +3

Capturing professionals' decision-making in creative workflows (e.g., UI/UX) is essential for reflection, collaboration, and knowledge sharing, yet existing methods often leave rat…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025

Expandora: Broadening Design Exploration with Text-to-Image Model

DaEun Choi, Kihoon Son, Hyunjoon Jung +1

Broad exploration of references is critical in the visual design process. While text-to-image (T2I) models offer efficiency and customization of exploration, they often limit suppo…

cs.HC20241 cited

Unveiling Disparities in Web Task Handling Between Human and Web Agent

Kihoon Son, Jinhyeon Kwon, DaEun Choi +4

With the advancement of Large-Language Models (LLMs) and Large Vision-Language Models (LVMs), agents have shown significant capabilities in various tasks, such as data analysis, ga…