Paper Types and Topics
As a unified visualization symposium, IEEE PacificVis welcomes novel intellectual contributions from all areas of visualization research. This document gives an overview of the suggested paper types and corresponding topics for successful submissions.
Technique Papers
Technique papers 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 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, 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 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
- Animation
- 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 Papers
System papers 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. Ttopics 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 Papers
These papers 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 Papers
Evaluation papers 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 of All Types
- Qualitative evaluation
- Quantitative evaluation
- Laboratory studies
- Field studies
- Usability studies
- Longitudinal studies
- Metrics and Benchmarks
- Use of Eye Tracking and Other Biometric Measures
Theory Papers
Theory papers often involve 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. 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