CALL FOR PARTICIPATION: InfoVis Papers

IEEE VIS 2013 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 2013) 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 2013 (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 is primarily soliciting papers on all topics in information visualization research. Please do 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. Suggested topics for papers 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
• social and ambient information
• 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

Techniques for interactive or dynamic information visualization including

• streaming or time-varying data
• focus + context methods
• animation and storytelling
• zooming, navigation and distortion techniques
• brushing and linking
• coordinated multiple views
• data labeling, editing and annotation
• scalability issues
• collaborative, co-located and distributed use

Information visualization and comprehension issues

• visual design and aesthetics
• cognition and perception
• sonification
• presentation and dissemination
• mobile and ubiquitous
• public deployment and use

Information visualization methodologies

• visualization systems
• design studies and case studies
• novel algorithms and mathematics
• taxonomies and models
• methodologies, discussions and frameworks

Evaluation

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

Applied information visualization

• reports of information visualization in domains where it has impact

CHAIRS

Jason Dykes, City University London
Helwig Hauser, University of Bergen
Jeff Heer, Stanford University

Email: infovis_papers(at)ieeevis.org.