Conference Information
InfoVis 2014 : IEEE Information Visualization Conference
http://ieeevis.org/year/2014/info/call-participation/infovis-papers
Submission Date:
2014-03-21
Notification Date:
2014-07-11
Conference Date:
2014-11-09
Location:
Paris, France
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Conference Location
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Call For Papers
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
Last updated by Dou Sun in 2014-01-25
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