FB4 Design
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Helsinki wird bunt!
(2010)
Nach Turin im Jahre 2008 und Seoul 2010 ernannte der International Council of Societies of Industrial Design Helsinki zur World Design Capital 2012. Warum ausgerechnet Helsinki? Was zeichnet eine Weltdesignhauptstadt überhaupt aus? Teemu Suviala vom Studio Kokoro & Moi hat das Corporate Design für WDC Helsinki gestaltet - so bunt wie die Designszene dort.
Drag-and-drop cognition
(2015)
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.
Experimentelle Gestaltung
(2015)
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.
Culturegraphy visualizes cultural information exchange over time. Treating cultural works as nodes and influences as directed edges, the visualization of these cultural networks can provide new insights into the rich interconnections of cultural development. The graphics represent complex relationships of movie references by combining macro views summarizing 100 years of movie influences with micro views providing a close-up look at the embedding of individual movies. The macro view shows the rise of the self-referential character of postmodern cinema, while the micro level illustrates differences between individual movies, when they were referenced and by whom. The visualizations provide views that are closer to the real complexity of the relationships than aggregated views or rankings could do.
Probing Projections
(2016)
We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-reduced data. Projection techniques generally aim to make a high-dimensional information space visible in form of a planar layout. However, the meaning of the resulting data projections can be hard to grasp. It is seldom clear why elements are placed far apart or close together and the inevitable approximation errors of any projection technique are not exposed to the viewer. Previous research on dimensionality reduction focuses on the efficient generation of data projections, interactive customisation of the model, and comparison of different projection techniques. There has been only little research on how the visualization resulting from data projection is interacted with. We contribute the concept of probing as an integrated approach to interpreting the meaning and quality of visualizations and propose a set of interactive methods to examine dimensionality-reduced data as well as the projection itself. The methods let viewers see approximation errors, question the positioning of elements, compare them to each other, and visualize the influence of data dimensions on the projection space. We created a web-based system implementing these methods, and report on findings from an evaluation with data analysts using the prototype to examine multidimensional datasets.