39 research outputs found
Contributions to the cornerstones of interaction in visualization: strengthening the interaction of visualization
Visualization has become an accepted means for data exploration and analysis. Although interaction is an important component of visualization approaches, current visualization research pays less attention to interaction than to aspects of the graphical representation. Therefore, the goal of this work is to strengthen the interaction side of visualization. To this end, we establish a unified view on interaction in visualization. This unified view covers four cornerstones: the data, the tasks, the technology, and the human.Visualisierung hat sich zu einem unverzichtbaren Werkzeug für die Exploration und Analyse von Daten entwickelt. Obwohl Interaktion ein wichtiger Bestandteil solcher Werkzeuge ist, wird der Interaktion in der aktuellen Visualisierungsforschung weniger Aufmerksamkeit gewidmet als Aspekten der graphischen Repräsentation. Daher ist es das Ziel dieser Arbeit, die Interaktion im Bereich der Visualisierung zu stärken. Hierzu wird eine einheitliche Sicht auf Interaktion in der Visualisierung entwickelt
Mapping Tasks to Interactions for Graph Exploration and Graph Editing on Interactive Surfaces
Graph exploration and editing are still mostly considered independently and
systems to work with are not designed for todays interactive surfaces like
smartphones, tablets or tabletops. When developing a system for those modern
devices that supports both graph exploration and graph editing, it is necessary
to 1) identify what basic tasks need to be supported, 2) what interactions can
be used, and 3) how to map these tasks and interactions. This technical report
provides a list of basic interaction tasks for graph exploration and editing as
a result of an extensive system review. Moreover, different interaction
modalities of interactive surfaces are reviewed according to their interaction
vocabulary and further degrees of freedom that can be used to make interactions
distinguishable are discussed. Beyond the scope of graph exploration and
editing, we provide an approach for finding and evaluating a mapping from tasks
to interactions, that is generally applicable. Thus, this work acts as a
guideline for developing a system for graph exploration and editing that is
specifically designed for interactive surfaces.Comment: 21 pages, minor corrections (typos etc.
A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics
Guidance can support users during the exploration and analysis of complex
data. Previous research focused on characterizing the theoretical aspects of
guidance in visual analytics and implementing guidance in different scenarios.
However, the evaluation of guidance-enhanced visual analytics solutions remains
an open research question. We tackle this question by introducing and
validating a practical evaluation methodology for guidance in visual analytics.
We identify eight quality criteria to be fulfilled and collect expert feedback
on their validity. To facilitate actual evaluation studies, we derive two sets
of heuristics. The first set targets heuristic evaluations conducted by expert
evaluators. The second set facilitates end-user studies where participants
actually use a guidance-enhanced system. By following such a dual approach, the
different quality criteria of guidance can be examined from two different
perspectives, enhancing the overall value of evaluation studies. To test the
practical utility of our methodology, we employ it in two studies to gain
insight into the quality of two guidance-enhanced visual analytics solutions,
one being a work-in-progress research prototype, and the other being a publicly
available visualization recommender system. Based on these two evaluations, we
derive good practices for conducting evaluations of guidance in visual
analytics and identify pitfalls to be avoided during such studies.Comment: Accepted to IEEE VIS 202
Unifying the Framework of Multi-Layer Network and Visual Analytics
International audienceThe notion of multi-layer networks introduces a general framework and common vocabulary for existing ideas in complex network theory. In doing so, it is possible to understand and compare these dierent ideas in a new and more fruitful manner. However, to make this operationalizable to the visualization and visual analytics community, we need more clarity. For example: What is a layer? What are the semantics of interlayer edges, and specifically, identity links between layers? Can dierent multilayered networks be expressed or implemented in the same way? And vice versa, can one multilayered network be expressed or implemented in dierent ways
Axes-Based Visualizations with Radial Layouts
In the analysis of multidimensional data sets questions involving detection of extremal events, correlations, patterns and trends play an increasingly important role in a variety of applications. Axesbased visualizations like Parallel or Star Coordinates are useful tools for the analysis of multidimensional data sets. In this paper, we present several interactive axes, which can be used to analyze data in an intuitive manner. Furthermore, we present two novel radial visual arrangements of such axes- the TimeWheel and the MultiComb. They focus on data sets with one variable of reference. TimeWheel and MultiComb in combination with interactive axes are part of an interactive framework called VisAxes, which can be used for enhanced multidimensional data browsing and analysis