IEEE PacificVis 2022 Call For Papers
IEEE PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as information visualization, scientific visualization, graph and network visualization, visual analytics, and visualization applications in domains such as (but not limited to) biological sciences, education, machine learning, physical sciences, security, and social science. Authors are invited to submit original and unpublished research and application papers in all areas of visualization. PacificVis 2022 (http://pvis.org/) will be held in Tsukuba, Japan on April 11-14, 2022. We encourage papers in any new, novel, and exciting research area that pertains to visualization.
All submitted papers will go through a two-stage review process to guarantee the publication of high-quality papers. All papers accepted by IEEE PacificVis 2020 will be published by IEEE and will be also included in the IEEE Digital Library. Selected papers will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG).
Important Dates
Abstract due : Oct. 15, 2021
Full paper due : Oct. 22, 2021
Reviews due : Nov. 26, 2021
1st cycle notification : Dec. 3, 2021
Revision due : Dec. 24, 2021
2nd cycle notification : Jan. 14, 2022
Camera ready paper due : Jan. 28, 2022
*All deadlines are due at 9:00 pm Pacific Time (PDT/PST).
Paper Types & Topics
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 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
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 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 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 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
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 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 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
For a wider range of paper types, please see “Broadening Intellectual Diversity in Visualization Research Papers” by B. Lee et al.
Submissions
Papers are to be submitted online through the new Precision Conference System (https://new.precisionconference.com/user/login?society=vgtc) at the PacificVis 2022 Papers track.
Original, unpublished papers of up to ten (10) pages (two-column, single-spaced, 9 point font, including figures, tables, and references) are invited. Manuscripts must be written in English and follow the formatting guidelines (https://pacificvis.github.io/). It is recommended (but not mandatory) to submit an anonymized version of your manuscript for double-blind review - in this case, please remove all author and affiliation information from submissions and supplemental files as well as substitute your paper’s ID number for the author name. Papers should be submitted electronically in Adobe PDF format. Please provide supplemental videos in QuickTime MPEG-4 or DivX version 5, and use TIFF, JPEG, or PNG for supplemental images.
Paper Chairs
Nan Cao, Tongji University, China
Email: nan.cao (at) tongji.edu.cn