TY - CHAP A1 - Landstorfer, Johannes A1 - Herrmann, Ivo A1 - Stange, Jan-Erik A1 - Dörk, Marian A1 - Wettach, Reto T1 - Weaving a Carpet from Log Entries BT - A Network Security Visualization Built with Co-Creation T2 - 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : 25 - 31 Oct. [i.e. 9 - 14 November] 2014, Paris, France N2 - We created a pixel map for multivariate data based on an analysis of the needs of network security engineers. Parameters of a log record are shown as pixels and these pixels are stacked to represent a record. This allows a broad view of a data set on one screen while staying very close to the raw data and to expose common and rare patterns of user behavior through the visualization itself (the "Carpet"). Visualizations that immediately point to areas of suspicious activity without requiring extensive filtering, help network engineers investigating unknown computer security incidents. Most of them, however, have limited knowledge of advanced visualization techniques, while many designers and data scientists are unfamiliar with computer security topics. To bridge this gap, we developed visualizations together with engineers, following a co-creative process. We will show how we explored the scope of the engineers' tasks and how we jointly developed ideas and designs. Our expert evaluation indicates that this visualization helps to scan large parts of log files quickly and to define areas of interest for closer inspection. KW - Rechnernetz KW - Visualisierung KW - Datensicherung KW - Informationstheorie Y1 - 2014 U6 - https://doi.org/10.1109/VAST.2014.7042483 SP - 73 EP - 82 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Wolf, Ingo A1 - Gortana, Flavio A1 - Herrmann, Ivo A1 - Thiele, Paul A1 - Heidmann, Frank A1 - Schröder, Tobias T1 - Drag-and-drop cognition BT - Graphical User Interface for cognitive-affective models in multi-agent systems N2 - We present a newly developed graphical user interface, which allows researchers to create models of complex societal decision-making in a user-friendly manner without being required to program. The software tool is based on InnoMind, an agent-based model that implements theories of emotional cognition from cognitive science. We show the current work in progress and outline the near-term goals of the software development project. KW - Benutzerschnittstelle KW - Graphische Datenverarbeitung KW - Entscheidungsunterstützung KW - Kognition KW - Mehragentensystem Y1 - 2015 N1 - 2nd GESIS Computational Social Science Winter Symposium 2015, December 2-3, 2015, Cologne, Germany ER -