Paper Topics

As a unified visualization conference, IEEE PacificVis welcomes novel intellectual contributions from all areas of visualization research. This document provides examples of possible contributions. However, we welcome all contributions to visualization; successful papers may combine or go beyond these contribution topics.

Visualization Techniques

Technique contributions mainly involve novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization). Topics include but are not limited to:

    Visualization Techniques for a Broad Range of Data Types:
        High-dimensional Data, Dimensionality Reduction, and Data Compression
        Graphs and Networks
        Text and Documents
        Multi-field, Multimodal, Multi-resolution, and Multivariate Data
        Causality and Uncertainty Data
        Time Series, Time-varying, Streaming, and Flow Data
        Scalar, Vector, and Tensor Fields
        Regular and Unstructured Grids
        Point-based Data
        Large-scale Data
    Visual Encoding, Feature Extraction, and Rendering Techniques:
        Volume Modeling and Rendering
        Visual Design and Aesthetics
        Illustrative Visualization
        Extraction of Surfaces
        Topology-based and Geometry-based Techniques
        Icon- and Glyph-based Techniques
        Integrating Spatial and Non-spatial Data Visualization
    Interaction Techniques for Supporting Data Analysis and Exploration:
        Animation
        Coordinated Multiple Views and Brushing & Linking
        Data Labeling, Editing, and Annotation
        Collaborative, Co-located, and Distributed Visualization
        Manipulation and Deformation
        Visual Data Mining and Visual Knowledge Discovery
        Data Storytelling
        Natural Language, Gesture, and Multimodal Interaction
    Hardware, Display, and Interaction Technologies for Visualization:
        Large and High-resolution Displays
        Stereo Displays
        Mobile and Ubiquitous Environments
        Situated and Immersive Analytics
        Data physicalization
        Multimodal Input (Touch, Haptics, Voice, etc.)
        Hardware Architectures for Visualization
    AI for Data Analysis and Visualization:
        Machine Learning Assisted Visualization
        Visualization for AI Explainability

Systems

System contributions include new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems. Topics in this category include but are not limited to:

    System Taxonomies and Design Patterns
    Methodologies, Discussions, and Frameworks
    Visual Analysis Systems, and Visualization Toolkits
    Visual Data Warehousing, Database Visualization, and Visual Data Mining Systems
    Collaborative and Distributed Visualization Systems

Applications & Design Studies

These contributions involve the novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. Topics in this category include but are not limited to:

    Statistical Graphics and Mathematics
    Financial, Security, and Business Visualization
    Physical Sciences and Engineering
    Earth, Space, and Environmental Sciences
    Geographic, Geospatial, and Terrain Visualization
    Molecular, Biomedical, Bioinformatics, and Medical Visualization
    Software Visualization
    Machine Learning Visualization
    Social and Information Sciences
    Education and Everyday Visualization
    Multimedia (Image/Video/Music) Visualization

Evaluation & Empirical Research

Evaluation contributions include comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use. Topics in this category include but are not limited to:

    Evaluations
        Qualitative evaluation
        Quantitative evaluation
        Laboratory studies
        Field studies
        Usability studies
        Longitudinal studies
    Metrics and Benchmarks
    Use of Eye Tracking and Other Biometric Measures

Visualization Theory

Theoretical contributions focus on fundamental questions related to understanding, assessing, categorizing, or formalizing visual data analysis. Topics in this category include but are not limited to:

    Cognition and Perception
    Frameworks and Models for Visualization or Interaction
    New methodologies for visualization research and design
    Visualization guidelines and heuristics
    Taxonomies and ontologies
    Mathematical abstraction