1. Important Dates
2. Supplemental Material and Formatting Guidelines
3. Journal Publication and Date of Publication
4. Submission Criteria and Review Process
5. General Expectations (Ethics Guidelines)
6. Topics
7. Submission
8. Paper Types
9. Chairs

IEEE VisWeek 2010 is the premier forum for visualization advances for academia, government, and industry. This event brings together researchers and practitioners with a shared interest in visualization techniques, tools, and technology. The IEEE Information Visualization Conference solicits novel research ideas and innovative applications in all areas of information visualization. Please note that some requirements and procedures have changed from previous years, especially pertaining to the length of manuscripts and author anonymity.

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

Papers can be up to a maximum of ten (10) pages in length, with the caveat that an optional tenth page can only contain references. Note that we have increased the upper limit for page length only to accommodate those papers whose contribution does not fit the standard 8 page format. When writing your paper keep in mind that overly long papers will add additional burden to the reviewers and that they have been explicitly instructed to make sure paper length is commensurate with its stated contribution. You may be asked to compress your paper in a second round if it is not.

Papers can include full-color figures throughout. We encourage the use of digital video to enhance the submission (which could be embedded directly into the pdf version of the paper), particularly if part or all of the work addresses interactive techniques. Submission of code or other supplemental material in order to increase the reproducibility of the work is also encouraged. Those submitting to the conference are urged to make available salient parameter settings of pertinent algorithms and ideally obtain results using open source data. In case specific data sets are employed, we ask that a version of these be made available where possible. We also encourage the placement of a teaser image on the very first page to showcase your work.

Please take note that this year's review process will be optionally double-blind for those who want to submit their work anonymously (double-blind means that no one, other than the IPC members will know the identity of the authors). When submitting for double-blind reviewing you are asked NOT to include any identifying information. If you do not want to anonymize your submission you are free to leave your name and affiliation on the first page. In that case the review process will be single-blind, i.e. the reviewers know the identity of the authors, but the authors do not know the identity of the reviewers.

Details and guidelines for preparing a proper submission can be found at http://www.cs.sfu.ca/~vis/Tasks/camera_tvcg.html. Guidelines for supplementary materials may be found at

http://www.cs.sfu.ca/~vis/Tasks/supplement_tvcg.html.

Authors must follow the style guidelines specified therein.

All papers accepted to IEEE InfoVis and IEEE Vis will appear in a special issue (Nov/Dec 2010) of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue will be published before the conference, the publication date being October 16th. 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.

IEEE Infovis and IEEE Vis will now accommodate a double-blind review process for those authors that want to submit their work anonymously. Therefore, those authors should NOT include their name or institution on the cover page of the initial submission, and should make an effort to ensure that there is no revealing information in the text (such as obvious citations to authors' previous work, or making acknowledgments to colleagues of long standing). Authors should also avoid posting their submitted manuscript on the web until the final notification date. To reiterate, the choice of complete anonymity is optional. Authors can reveal their names and affiliations in the first round of the review cycle if they choose not to anonymize their work.

Note that submission of an abstract for each paper is mandatory by March 21, 2010 and full papers are due March 31st, 2010. All submissions must be original works that have not been published previously in any archived conference proceedings, magazine, or journal. Related previous work by the authors must be cited (anonymously if desired and appropriate), and the differences to work described in the submitted manuscript must be clearly explained. Concurrent submissions are strictly forbidden. If it is determined that an identical or substantially similar manuscript is simultaneously under consideration at another publication venue or forum (e.g., conference, journal, edited book) the manuscript will be rejected at an early stage in the review process.

A paper is considered published if it has appeared in a peer-reviewed archived journal or in published meeting proceedings that are commercially available afterward to non-attendees in the form of archives (including digital). There are exceptions. It should be duly noted that work described in the Interactive Posters, Contest Entries, or Late-Breaking Hot Topics venues from previous Visweek conferences is thus not considered formally published, and may be resubmitted provided it has substantial additional new material.

At least one author of an accepted paper must attend the conference to present the work, and authors will also be required to present a very brief summary of their talk at the opening papers preview session.

Since accepted submissions will appear in the premier archival journal of the field (IEEE Transactions on Visualization and Computer Graphics), we expect that the submissions will clearly discuss the novel and significant contributions and place them in the context of prior art in the field. This will involve highlighting how the current contributions differ from and advance the state-of-the-art in visualization, especially, but not limited to previous work published in the IEEE Transactions on Visualization and Computer Graphics (TVCG) and other leading journals and conferences including IEEE InfoVis, IEEE Visualization, ACM SIGGRAPH, CHI, UIST, EuroVis, and PacificVis.

When submitting your paper you will be asked to provide a complete list of authors even when submitting an anonymized version of the manuscript. This is required to avoid potential conflicts of interest when assigning reviewers. Adding additional authors AFTER the acceptance of a paper is unacceptable and will not be permitted.

Submissions will be treated as confidential communications during the review process, so submission does not constitute public disclosure of any ideas therein. Submissions should contain no information or materials that will be proprietary or confidential at the time of publication (at the conference), and should cite no publications that are proprietary or confidential at the time of publication.

Our conference will adhere to the VGTC ethics guidelines for reviewers that can be found at http://vgtc.org/wpmu/techcom/conferences/ethics-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, point-based or volumetric data) might be a better match for our sister conference, the IEEE Vis Conference. Suggested topics for papers include, but are not limited to:

• Information visualizations, techniques and interaction methods for
• graphs and trees and other relational data
• high-dimensional data and dimensionality reduction
• social and ambient information
• text and documents
• non-expert audiences
• causality and uncertainty data
• time series data
• any other non-spatial data or spatial data that is visualized with a new spatial mapping
• Information visualization interaction techniques
• icon- and glyph-based
• focus + context
• animation
• zooming and navigation
• linking + brushing
• coordinated multiple views
• data labeling, editing and annotation
• scalability
• collaborative, co-located and distributed
• manipulation and deformation
• visual data mining and visual knowledge discovery
• Information visualization and comprehension issues
• visual design and aesthetics
• cognition and perception
• sonification
• presentation and dissemination
• mobile and ubiquitous
• 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
• Information visualization application areas
• statistical graphics
• information visualization for mathematics
• geo-visualizations
• biomedical visualizations
• financial visualization

This year we are using the Precision Conference System (PCS) to handle the submission and reviewing process. Electronic submissions details can be found at https://precisionconference.com/~vgtc/.

An information visualization paper typically falls into one of five categories: technique, system, design study, evaluation, or model. We briefly discuss these categories below. Although your main paper type has to be specified during the paper submission process, papers can include elements of more than one of these categories. Please see "Process and Pitfalls in Writing Information Visualization Research Papers" by Tamara Munzner for more detailed discussion on how to write a successful information visualization paper.

Technique papers introduce novel techniques or algorithms that have not previously appeared in the literature, or that significantly extend known techniques or algorithms, for example by scaling to datasets of much larger size than before or by generalizing a technique to a larger class of uses.

The technique or algorithm description provided in the paper should be complete enough that a competent graduate student in visualization could implement the work, and the authors should create a prototype implementation of the methods. Relevant previous work must be referenced, and the advantage of the new methods over it should be clearly demonstrated. There should be a discussion of the tasks and datasets for which this new method is appropriate, and its limitations. Evaluation through informal or formal user studies, or other methods, will often serve to strengthen the paper, but are not mandatory.

System papers present a blend of algorithms, technical requirements, user requirements, and design that solves a major problem. The system that is described is both novel and important, and has been implemented. The rationale for significant design decisions is provided, and the system is compared to documented, best-of-breed systems already in use. The comparison includes specific discussion of how the described system differs from and is, in some significant respects, superior to those systems. For example, the described system may offer substantial advancements in the performance or usability of visualization systems, or novel capabilities. Every effort should be made to eliminate external factors (such as advances in processor performance, memory sizes or operating system features) that would affect this comparison. For further suggestions, please review "How (and How Not) to Write a Good Systems Paper" by Roy Levin and David Redell, and "Empirical Methods in CS and AI" by Toby Walsh.

Application / Design Study papers explore the choices made when applying visualization techniques in an application area, for example relating the visual encodings and interaction techniques to the requirements of the target task. Similarly, Application papers have been the norm when researchers describe the use of visualization techniques to glean insights from problems in engineering and science. Although a significant amount of application domain background information can be useful to provide a framing context in which to discuss the specifics of the target task, the primary focus of the case study must be the visualization content. The results of the Application / Design Study, including insights generated in the application domain, should be clearly conveyed. Describing new techniques and algorithms developed to solve the target problem will strengthen a design study paper, but the requirements for novelty are less stringent than in a Technique paper. Where necessary, the identification of the underlying parametric space and its efficient search must be aptly described. The work will be judged by the design lessons learned or insights gleaned, on which future contributors can build. We invite submissions on any application area.

Evaluation papers explore the usage of visualization by human users, and typically present an empirical study of visualization techniques or systems. Authors are not necessarily expected to implement the systems used in these studies themselves; the research contribution will be judged on the validity and importance of the experimental results as opposed to the novelty of the systems or techniques under study. The conference committee appreciates the difficulty and importance of designing and performing rigorous experiments, including the definition of appropriate hypotheses, tasks, data sets, selection of subjects, measurement, validation and conclusions. The goal of such efforts should be to move from mere description of experiments, toward prediction and explanation. We do suggest that potential authors who have not had formal training in the design of experiments involving human subjects may wish to partner with a colleague from an area such as psychology or human-computer interaction who has experience with designing rigorous experimental protocols and statistical analysis of the resulting data. Other novel forms of evaluation are also encouraged.

Theory/Model papers present new interpretations of the foundational theory of visualization. Implementations are usually not relevant for papers in this category. Papers should focus on basic advancement in our understanding of how visualization techniques complement and exploit properties of human vision and cognition.

Jean-Daniel Fekete, INRIA, France
Frank van Ham, IBM Research
Email: infovis_papers@vgtc.org.