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Auflistung nach Autor:in "Kerren, Andreas"

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  • Textdokument
    Frontmatter
    (Visualization of Large and Unstructured Data Sets, 2006)
    First workshop of the DFG’s International Research Training Group - Visualization of Large and Unstructured Data Sets – Applications in Geospatial Planning, Modeling, and Engineering
  • Zeitschriftenartikel
    Measuring Subjectivity
    (KI - Künstliche Intelligenz: Vol. 26, No. 2, 2012) Cernea, Daniel; Olech, Peter-Scott; Ebert, Achim; Kerren, Andreas
    Since the dawn of the industrial era, modern devices and interaction methods have undergone rigorous evaluations in order to ensure their functionality and quality, as well as usability. While there are many methods for measuring objective data, capturing and interpreting subjective factors—like the feelings or states of mind of the users—is still an imprecise and usually post-event process. In this paper we propose the utilization of the Emotiv EPOC commercial electroencephalographic (EEG) neuroheadset for real-time support during evaluations and user studies. We show in two evaluation scenarios that the wireless EPOC headsets can be used efficiently for supporting subjectivity measurement. Additionally, we highlight situations that may result in a lower accuracy, as well as explore possible reasons and propose solutions for improving the error rates of the device.
  • Konferenzbeitrag
    Novel visual representations for software metrics using 3D and animation
    (Software Engineering 2009, 2009) Kerren, Andreas; Jusufi, Ilir
    The visualization of software metrics is an important step towards a better understanding of the software product to be developed. Software metrics are quantitative measurements of a piece of software, e.g., a class, a package, or a component. A good understanding of software metrics supports the identification of possible problems in the development process and helps to improve the software quality. In this paper, we present two possibilities how novel visual representations can support the user to discover interesting properties within the metric data set. The first one uses a new interactive 3D metaphor to overcome known problems in the visualization of the evolution of software metrics. Then, we focus on the usage of 2D animation to represent metric values. Both approaches were implemented and address different aspects in human-centered visualization, i.e., the design of visual metaphors that are intuitive from the user perspective in the first case as well as the support of patterns in motion to facilitate the visual perception of metric outliers in the second case.
  • Textdokument
    Visualization of Large and Unstructured Data Sets
    (2006)
    First workshop of the DFG’s International Research Training Group - Visualization of Large and Unstructured Data Sets – Applications in Geospatial Planning, Modeling, and Engineering