Conference Information
PacificVis 2023: IEEE Pacific Visualization Symposium
Submission Date:
2022-10-21 Extended
Notification Date:
Conference Date:
Seoul, Korea
CCF: c   QUALIS: b3   Viewed: 28242   Tracked: 37   Attend: 9

Call For Papers
Suggested paper types and the corresponding topics include, but are not limited to:

Technique Paper

novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of data visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization). More topics in this category 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, Multi-modal, 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 and Rendering Techniques:

        Volume Modeling and Rendering
        Extraction of Surfaces
        Topology-based and Geometry-based Techniques
        Glyph-based Techniques
        Integrating Spatial and Non-spatial Data Visualization

Interaction Techniques for Supporting Data Analysis and Exploration:

        Icon- and Glyph-based Visualization
        Focus + Context Techniques
        Zooming and Navigation
        Brushing + Linking
        Coordinated Multiple Views
        View-dependent Visualization
        Data Labeling, Editing, and Annotation
        Collaborative, Co-located, and Distributed Visualization
        Manipulation and Deformation
        Visual Data Mining and Visual Knowledge Discovery

Hardware, Display, and Interaction Technologies for Visualization:

        Large and High-resolution Displays
        Stereo Displays
        Mobile and Ubiquitous Environments
        Immersive and Virtual Environments
        Multimodal Input (Touch, Haptics, Voice, etc.)
        Hardware Acceleration
        GPUs and Multi-core Architectures
        CPU and GPU Clusters
        Distributed Systems, Grid, and Cloud Environments
        Volume Graphics Hardware

Systems Paper

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. More 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 Paper

novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities. More 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 Paper

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. More topics in this category include but are not limited to:

    Evaluations of All Types: Qualitative, Quantitative, Laboratory, Field, and Usability Studies
    Metrics and Benchmarks
    Use of Eye Tracking and Other Biometric Measures

Theory Paper

models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation. More topics in this category include but are not limited to:

    Visual Design and Aesthetics
    Illustrative Visualization
    Cognition and Perception Issues
    User Studies on Visualization Readability and User Interaction
    Presentation, Dissemination, and Storytelling
    Design Studies, Case Studies, and Focus Groups
    Task and Requirements Analysis
Last updated by Dou Sun in 2022-10-15
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