activity
20222026
most citedLeveraging Multimodal LLM for Inspirational User Interface Search

9 citations · 19 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.HC2026

TailVis: Expressive Chart Refinement Preserving Data-Binding Integrity

Yumin Song, Seokhyeon Park, Soohyun Lee +4

Creating static visualizations for presentations and publications requires granular refinements of visual details, even for simple charts. Existing data-driven visualization tools…

cs.HC2026

Revisiting Channel Effectiveness: A Multi-Dimensional Evaluation with Primitive Visual Stimuli

Soohyun Lee, Seokhyeon Park, Minsuk Chang +1

Established channel effectiveness rankings primarily assess magnitude estimation accuracy in complete chart contexts, often neglecting other perceptual tasks such as discriminabili…

cs.HC2026

HookLens: Visual Analytics for Understanding React Hooks Structures

Suyeon Hwang, Minkyu Kweon, Jeongmin Rhee +5

Maintaining and refactoring React web applications is challenging, as React code often becomes complex due to its core API called Hooks. For example, Hooks often lead developers to…

cs.HC2026★ 3 cited

Bridging Gulfs in UI Generation through Semantic Guidance

Seokhyeon Park, Soohyun Lee, Eugene Choi +4

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…

cs.HC2026★ 1 cited

GhostUI: Unveiling Hidden Interactions in Mobile UI

Minkyu Kweon, Seokhyeon Park, Soohyun Lee +3

Modern mobile applications rely on hidden interactions--gestures without visual cues like long presses and swipes--to provide functionality without cluttering interfaces. While exp…

cs.HC2025★ 9 cited

Leveraging Multimodal LLM for Inspirational User Interface Search

Seokhyeon Park, Yumin Song, Soohyun Lee +2

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 o…

cs.HC2024

Efficiently Crowdsourcing Visual Importance with Punch-Hole Annotation

Minsuk Chang, Soohyun Lee, Aeri Cho +4

We introduce a novel crowdsourcing method for identifying important areas in graphical images through punch-hole labeling. Traditional methods, such as gaze trackers and mouse-base…

cs.HC2023

Computational Approaches for App-to-App Retrieval and Design Consistency Check

Seokhyeon Park, Wonjae Kim, Young-Ho Kim +1

Extracting semantic representations from mobile user interfaces (UI) and using the representations for designers' decision-making processes have shown the potential to be effective…