Yngve Kristiansen



    [PDF] [DOI] [VID] [Bibtex]
    author = {Kristiansen, Y. S. and Garrison, L. and Bruckner, S.},
    title = {Semantic Snapping for Guided Multi-View Visualization Design},
    journal = {IEEE Transactions on Visualization and Computer Graphics},
    year = {2021},
    volume = {},
    pages = {},
    doi = {},
    abstract = {Visual information displays are typically composed of multiple visualizations that are used to facilitate an understanding of the underlying data. A common example are dashboards, which are frequently used in domains such as finance, process monitoring and business intelligence. However, users may not be aware of existing guidelines and lack expert design knowledge when composing such multi-view visualizations. In this paper, we present semantic snapping, an approach to help non-expert users design effective multi-view visualizations from sets of pre-existing views. When a particular view is placed on a canvas, it is “aligned” with the remaining views–not with respect to its geometric layout, but based on aspects of the visual encoding itself, such as how data dimensions are mapped to channels. Our method uses an on-the-fly procedure to detect and suggest resolutions for conflicting, misleading, or ambiguous designs, as well as to provide suggestions for alternative presentations. With this approach, users can be guided to avoid common pitfalls encountered when composing visualizations. Our provided examples and case studies demonstrate the usefulness and validity of our approach.},
    note = {Accepted for publication, to be presented at IEEE VIS 2021},
    project = {MetaVis,VIDI},
    pdf = {pdfs/Kristiansen-2021-SSG.pdf},
    vid = {vids/Kristiansen-2021-SSG.mp4},
    thumbnails = {images/Kristiansen-2021-SSG.png},
    images = {images/Kristiansen-2021-SSG.jpg},
    keywords = {tabular data, guidelines, mixed initiative human-machine analysis, coordinated and multiple views},
    doi = {10.1109/TVCG.2021.3114860},


    [PDF] [DOI] [Bibtex]
    author = {Yngve Sekse Kristiansen and Stefan Bruckner},
    title = {Visception: An Interactive Visual Framework for Nested Visualization Design},
    journal = {Computers \& Graphics},
    volume = {92},
    pages = {13--27},
    keywords = {information visualization, nested visualizations, nesting},
    doi = {10.1016/j.cag.2020.08.007},
    abstract = {Nesting is the embedding of charts into the marks of another chart. Related to principles such as Tufte’s rule of utilizing micro/macro readings, nested visualizations have been employed to increase information density, providing compact representations of multi-dimensional and multi-typed data entities. Visual authoring tools are becoming increasingly prevalent, as they make visualization technology accessible to non-expert users such as data journalists, but existing frameworks provide no or only very limited functionality related to the creation of nested visualizations. In this paper, we present an interactive visual approach for the flexible generation of nested multilayer visualizations. Based on a hierarchical representation of nesting relationships coupled with a highly customizable mechanism for specifying data mappings, we contribute a flexible framework that enables defining and editing data-driven multi-level visualizations. As a demonstration of the viability of our framework, we contribute a visual builder for exploring, customizing and switching between different designs, along with example visualizations to demonstrate the range of expression. The resulting system allows for the generation of complex nested charts with a high degree of flexibility and fluidity using a drag and drop interface.},
    year = {2020},
    pdf = "pdfs/Kristiansen-2020-VIV.pdf",
    thumbnails = "images/Kristiansen-2020-VIV.png",
    images = "images/Kristiansen-2020-VIV.jpg",
    project = "MetaVis"