EuroVisShort2016

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https://diglib.eg.org/handle/10.2312/15272

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Browsing EuroVisShort2016 by Subject "Graphical user interfaces (GUI)"

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    IN2CO - A Visualization Framework for Intuitive Collaboration
    (The Eurographics Association, 2016) Rupprecht, Franca-Alexandra; Hamann, Bernd; Weidig, Christian; Aurich, Jan C.; Ebert, Achim; Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll
    Today, the need for interaction and visualization techniques to fulfill user requirements for collaborative work is ever increasing. Current approaches do not suffice since they do not consider the simultaneous work of participating users, different views of the data being analyzed, or the exchange of information between different data emphases. We introduce Intuitive Collaboration (IN2CO), a scalable visualization framework that supports decision-making processes concerning multilevels and multi-roles. IN2CO improves the state of the art by integrating ubiquitous technologies and existing techniques to explore and manipulate data and dependencies collaboratively. A prototype has been tested by mechanical engineers with expertise in factory planning. Preliminary results imply that IN2CO supports communication and decision-making in a team-oriented manner.
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    SpaceCuts: Making Room for Visualizations on Maps
    (The Eurographics Association, 2016) Buchmüller, Juri; Jäckle, Dominik; Stoffel, Florian; Keim, Daniel A.; Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll
    Visual map features like streets, rail tracks, or rivers do not provide enough space to visualize multiple attributes on them. Related approaches to solve space issues distort the map with lenses, apply distortion techniques to the map geometry, or employ three dimensional visualizations. All these techniques come at the cost of distortion or overlapping of relevant map features or they even produce overlap of visualized data. In this paper, we present SpaceCuts, a technique to generate additional space for data visualization on maps that does not distort the map and introduces only minimal overlap by cutting the map along a geographic structure and pulling the resulting areas apart. Besides introducing the basic technique, we discuss possible interactions, further extensions, application scenarios, and outline potential future research.