Conference Information
InfoVis 2015 : IEEE Information Visualization Conference
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Chicago, Illinois, USA
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Call For Papers
IEEE VIS 2015 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.


Papers accepted to IEEE InfoVis will appear in a special issue (Jan 2016) 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.


All three conferences at IEEE VIS 2015 (VAST, InfoVis and SciVis) use the Precision Conference System (PCS) to handle their submission and reviewing process. PCS is available at 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.


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


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 visualization 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 (health, energy, finance, email, etc.)
    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
    Post WIMP interactions (pen, touch, speech, gestures, etc.)
    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


    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 2015-02-24
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