CALL FOR PARTICIPATION: InfoVis Papers

IEEE VIS 2014 is the premier forum for advances in visualization for academia, government, and industry. This event brings together researchers and practitioners with a shared interest in visualization solutions. The IEEE Information Visualization Conference solicits novel research ideas and innovative applications in all areas of information visualization. Please carefully read the submission guidelines below, especially pertaining to submission venue, the length of manuscripts and optional author anonymity.

IMPORTANT DATES

All deadlines are at 5:00pm Pacific Time (PDT).

JOURNAL PUBLICATION AND DATE OF PUBLICATION

Papers accepted to IEEE InfoVis will appear in a special issue (Dec 2014) of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue will be published online the first day of the conference. Papers (including supplemental material) will undergo a revision and review cycle after initial notification of review results in order to ensure that they are acceptable for publication and presentation in the journal. The paper and supplemental material will also appear in the IEEE Digital Library.

SUBMISSION

All three conferences at IEEE VIS 2014 (VAST, InfoVis and SciVis) use the Precision Conference System (PCS) to handle their submission and reviewing process. PCS is available at https://precisionconference.com/~vgtc/. When submitting your manuscript please make sure that you submit it to your intended conference by clicking the appropriate conference header in the conference system landing page. If you are unsure which venue you should submit to, you can use the call for papers on this website, as well as last year's published proceedings as a guideline.

DETAILED SUBMISSION GUIDELINES

When preparing your submission, please make sure that you carefully read and adhere to the paper submission guidelines.

TOPICS

The IEEE InfoVis conference solicits research papers on diverse topics related to information visualization. Information visualization, broadly defined, involves the design of visual data representations and interaction techniques that support human activities, where the spatial layout of the visual representation is chosen by the designer. Papers might contribute novel visual encoding or interaction techniques, tools and techniques to support the visual data analysis process, evaluations of InfoVis techniques and tools, models or taxonomies related to InfoVis, systems that support visual data analysis, or experience applying information visualization to a domain specific problem.

Please note that topics primarily involving spatial data (such as scalar, vector and tensor fields) might be a better match for the IEEE SciVis Conference at IEEE VIS. Similarly, topics which clearly focus on visual analytics, e.g., the integration of computational solutions, might be a better match for the IEEE VAST Conference, also at IEEE VIS.

Specific topics include, but are not limited to:

Information visualizations techniques for

• graphs and trees and other relational or structured data
• high-dimensional data and dimensionality reduction
• multi-variate data and heterogeneous data
• personal or social data
• text and documents
• non-numeric data (categorical data, nominal data, etc.)
• non-expert audiences
• causality and uncertainty data
• time series data
• any other non-spatial data
• spatial data that is visualized with a new spatial mapping
• streaming or time-varying data
• very large data sets (scalability)

Techniques for interacting with visualizations or supporting the data analysis process, including

• recordkeeping, sensemaking, and storytelling
• collaboration support, either co-located or distributed
• integration of visualization with other software tools
• touch and gesture interactions
• focus + context methods
• zooming, navigation and distortion techniques
• brushing and linking
• coordinated multiple views
• data labeling, editing and annotation

Fit of visualizations into the context of use, including

• visual design and aesthetics
• minimal attention contexts, e.g. ambient displays
• mobile and ubiquitous
• public environments

Information visualization fundamentals and methodologies

• visualization systems
• novel algorithms and mathematics
• taxonomies and models
• research methodology, discussions and frameworks
• cognition and perception issues

Evaluation

• task and requirements analysis
• metrics and benchmarks
• qualitative and quantitative evaluation
• laboratory and field studies
• novel evaluation methods
• usability studies and focus groups
• case studies

Applied information visualization

• reports of information visualization in domains where it has impact
• design studies

CHAIRS

Melanie Tory, University of Victoria
Helwig Hauser, University of Bergen
Jeff Heer, University of Washington

Email: infovis_papers(at)ieeevis.org.