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Visualization, Analytics, and Data Understanding / Machine Learning Model Visual Analytics

Designers struggle to choose appropriate colors and transparency to improve depth perception in semi-transparent visualizations.

lightbulbPractical problemMachine Learning Model Visual Analytics

Designers struggle to choose appropriate colors and transparency to improve depth perception in semi-transparent visualizations.

CHI '25Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization

Similar questions

lightbulbPractical problemMachine Learning Model Visual Analytics

Existing visualization tools struggle to respond in real time to users' dynamic exploration habits.

IUI '25Analyzing the Shifts in Users Data Focus in Exploratory Visual Analysis

lightbulbPractical problemMachine Learning Model Visual Analytics

Researchers struggle to access historical graphics from ancient Chinese texts for visualization design analysis.

CHI '25ZuantuSet: A Collection of Historical Chinese Visualizations and Illustrations

lightbulbPractical problemMachine Learning Model Visual Analytics

Data scientists struggle to discover hidden patterns and unknown subgroups when analyzing high-dimensional data.

CHI '25Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis

lightbulbPractical problemMachine Learning Model Visual Analytics

Data analysts easily make wrong decisions due to distorted results when using dimensionality reduction techniques.

CHI '25Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

lightbulbPractical problemMachine Learning Model Visual Analytics

Designers and data analysts struggle to accurately judge visual separation quality of multi-class data.

CHI '25Uncovering How Scatterplot Features Skew Visual Class Separation

lightbulbPractical problemMachine Learning Model Visual Analytics

Researchers struggle to efficiently retrieve and understand specific claims and their context in literature.

CHI '25Plume: Scaffolding Text Composition in Dashboards

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Analyzing the Shifts in Users Data Focus in Exploratory Visual Analysis

Sanad Saha, Nischal Aryal, Leilani Battle

ZuantuSet: A Collection of Historical Chinese Visualizations and Illustrations

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Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization

Zhiyuan Meng, Yunpeng Yang, Qiong Zeng

Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis

Venkatesh Sivaraman, Zexuan Li, Adam Perer

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

Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo

Uncovering How Scatterplot Features Skew Visual Class Separation

S. Sandra Bae, Takanori Fujiwara, Chin Tseng

Plume: Scaffolding Text Composition in Dashboards

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Understanding Novice's Annotation Process For 3D Semantic Segmentation Task With Human-In-The-Loop

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Taking ASCII Drawings Seriously: How Programmers Diagram Code

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DeepSee: Multidimensional Visualizations of Seabed Ecosystems

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A Human Information Processing Theory of the Interpretation of Visualizations: Demonstrating Its Utility

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Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting

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