Semi-structured interviews with 15 visualization practitioners identify three emotion functions for viewers, three design facets, ethical considerations, and observations that affective intent often emerges during the process.
hub
Title resolution pending
10 Pith papers cite this work. Polarity classification is still indexing.
10
Pith papers citing it
hub tools
representative citing papers
Episodic framing of text in mass shooting data visualizations elicits more negative emotions than thematic framing and indirectly increases support for gun control policies.
A graph-based technique splits ambiguous instances into multiple points in DR projections to reduce partial neighborhood embedding and reveal hidden memberships.
DataSway supports creation of semantically aligned animations for metaphoric data visualizations by generating clips via VLMs and coordinating timelines based on entity order, attributes, layout, or randomness.
MLLMs given the same instructions as human participants achieve expert-level performance on perceiving stress in network visualizations and rely on similar visual proxies.
Motion-based user identification works reliably inside one XR application but generalizes poorly across different applications.
Proposes mCCDF plots to visualize ordinal regression results and communicate key takeaways from analyses of ordinal data like Likert scales.
Head- and eye-based pointing outperform hand-based methods for AR 2D selection across depths, with head remaining most accurate and consistent.
Visualization retrieval systems can transform static collections of visualizations into dynamic, inquiry-based environments that support design exploration, data consumption, and resource management for data literacy education.
Action research case studies assess the practicality of an information-theoretic VA workflow optimization methodology, identify obstacles, and propose a deployment roadmap.
citing papers explorer
-
Made to Feel: How Designers Bring Emotions into Affective Visualization
Semi-structured interviews with 15 visualization practitioners identify three emotion functions for viewers, three design facets, ethical considerations, and observations that affective intent often emerges during the process.
-
Comparing the Emotional Impact of Thematic Versus Episodic Framing in Visualization Text
Episodic framing of text in mass shooting data visualizations elicits more negative emotions than thematic framing and indirectly increases support for gun control policies.
-
When One Point Is Not Enough: Addressing Ambiguous Instances in Dimensionality Reduction by Splitting
A graph-based technique splits ambiguous instances into multiple points in DR projections to reduce partial neighborhood embedding and reveal hidden memberships.
-
DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and Coordination
DataSway supports creation of semantically aligned animations for metaphoric data visualizations by generating clips via VLMs and coordinating timelines based on entity order, attributes, layout, or randomness.
-
Exploring MLLMs Perception of Network Visualization Principles
MLLMs given the same instructions as human participants achieve expert-level performance on perceiving stress in network visualizations and rely on similar visual proxies.
-
Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
Motion-based user identification works reliably inside one XR application but generalizes poorly across different applications.
-
Adapting CCDF Plots for Visualizing Ordinal Regression Results
Proposes mCCDF plots to visualize ordinal regression results and communicate key takeaways from analyses of ordinal data like Likert scales.
-
Comparing Controller-Free Pointing Techniques Across Depth for 2D Selection in Augmented Reality
Head- and eye-based pointing outperform hand-based methods for AR 2D selection across depths, with head remaining most accurate and consistent.
-
Optimizing Visual Analytics Workflows: From Theory to Practice
Action research case studies assess the practicality of an information-theoretic VA workflow optimization methodology, identify obstacles, and propose a deployment roadmap.