Jinwook Seo

schoolSeoul National Universitybar_chart#536 Global Rank

Total Papers

HCI Rank

#536

Research Areas

Years Active

Recent Publications

GhostUI: Unveiling Hidden Interactions in Mobile UI

Modern mobile applications rely on hidden interactions—gestures without visual cues like long presses and swipes—to provide functionality without cluttering interfaces. While experienced users may discover these interactions through prior use or onboarding tutorials, their implicit nature makes them difficult for most…

CHI '263rd AuthorAutoML Interfaces +2

HyPockeTuner: Bringing Hyperparameter Optimization to Mobile Devices

Hyperparameter optimization (HPO) is a long-running process that can span hours or even days. While recent Human-in-the-Loop HPO systems enable monitoring and steering of the process, they are typically designed for desktop environments, which limits their effectiveness in managing prolonged experiments in practice. T…

CHI '26CorrespondingInteractive Data Visualization +2

CrossLit: Connecting Visual and Textual Sensemaking for Literature Review

Conducting literature reviews is cognitively demanding, requiring researchers to navigate large volumes of work while constructing coherent narratives that position their contributions. The process unfolds through iterative stages of sensemaking, each demanding different support. Existing tools emphasize either visual…

CHI '26CorrespondingGenerative AI (Text, Image, Music, Video) +3

Bridging Gulfs in UI Generation through Semantic Guidance

While generative AI enables high-fidelity UI generation from text prompts, users struggle to articulate design intent and evaluate or refine results—creating gulfs of execution and evaluation. To understand the information needed for UI generation, we conducted a thematic analysis of UI prompting guidelines, identifyi…

CHI '26CorrespondingHonorable MentionHuman-LLM Collaboration +1

Good Fences Make Good Learning: How Self-Directed Language Learners Navigate LLM Delegation Decisions

Self-directed language learners increasingly turn to large language models (LLMs) for assistance, but face the challenge of deciding what learning tasks to delegate to LLMs and how. While prior research has examined the effectiveness of LLM in improving language proficiency, less is known about how learners negotiate…

CHI '25CorrespondingInteractive Data Visualization +2

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

Dimensionality reduction (DR) techniques are essential for visually analyzing high-dimensional data. However, visual analytics using DR often face unreliability, stemming from factors such as inherent distortions in DR projections. This unreliability can lead to analytic insights that misrepresent the underlying data,…

CHI '25CorrespondingHuman-LLM Collaboration +1

Leveraging Multimodal LLM for Inspirational User Interface Search

Inspirational search, the process of exploring designs to inform and inspire new creative work, is pivotal in mobile user interface (UI) design. However, exploring the vast space of UI references remains a challenge. Existing AI-based UI search methods often miss crucial semantics like target users or the mood of apps…

CHI '244th AuthorAgent Personality & Anthropomorphism +1

CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models

Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have fixed personalities and functionalities, limiting their adaptability to individual…

CHI '24CorrespondingHuman-LLM Collaboration +2

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using Vega-Lite specifications as input, thereby streamlining the development of Natural Language Interfaces (NLIs) for data visualization. To synthesize relevant chart semantics accurately and enhance syntactic dive…

CHI '23CorrespondingNotification & Interruption Management

DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions

People struggle with the overflow of smartphone notifications but often face two challenges: (1) prioritizing the informative notifications as they wish and (2) retaining the delivered information as long as they want to utilize it. In this paper, we present DataHalo, a customizable notification visualization system…

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