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20242026
most citedUnveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

16 citations · 23 across the 19 of their papers we have counts for

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7 papers · 1 filter

cs.HC2026

Living Dashboards: Automatically Self-Updating Visualization Dashboards

Mingyu An, Heyon Jeon, Sungbok Shin +4

Visualization dashboards are widely used interactive tools, but a disconnect exists between the dynamic data they display and their static structure. End-users cannot modify the da…

cs.HC2026

Penquiry: A Pen-based Interactive In-situ Q&A System Leveraging LLMs

Jeongmin Rhee, Changhee Lee, Hyunwoo Kim +4

Pen-based digital devices remain a preferred medium for active, cognitively engaging study. Concurrently, Large Language Models (LLMs) have become indispensable for self-directed l…

cs.HC2026

ggaction: A Grammar of Graphical Actions

Hyeon Jeon, Jinwook Seo

A chart may be declarative; authoring it is not. Visualization grammars often describe charts as finished specifications, whereas people construct them through a sequence of author…

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

Physical Containers as Framing Conditions for Visualization in Augmented Reality

Jiyeon Bae, Mingyu An, Jeongin Park +3

Exploratory data analysis (EDA) is often hindered by cold-start friction; when users lack specific analytic goals, they struggle to configure complex visualization parameters. Whil…

cs.HC2026

A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music

Jiyeon Bae, Jinwook Seo

Existing computational studies of popular music primarily model aggregate trends or predict chart performance, offering limited support for interpreting artist-level alignment agai…

cs.HC2026

Seeing Graphs Like Humans: Benchmarking Computational Measures and MLLMs for Similarity Assessment

Seokweon Jung, Jeongmin Rhee, Seoyoung Doh +3

Comparing graphs to identify similarities is a fundamental task in visual analytics of graph data. To support this, visual analytics systems frequently employ quantitative computat…