EuroVisShort2015

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https://diglib.eg.org/handle/10.2312/12463

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Browsing EuroVisShort2015 by Subject "Applications"

Now showing 1 - 3 of 3
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    ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks
    (The Eurographics Association, 2015) Mittelstädt, Sebastian; Jäckle, Dominik; Stoffel, Florian; Keim, Daniel A.; E. Bertini and J. Kennedy and E. Puppo
    Colormap design is challenging because the encoding must match the requirements of data and analysis tasks as well as the perception of the target user. A number of well-known tools exist to support the design of colormaps. ColorBrewer [HB03], for example, is a great resource to select colors for qualitative, sequential, and diverging data. PRAVDAColor [BRT95] and Tominski et al. [TFS08], for example, provide valuable guidelines for single analysis tasks such as localization, identification, and comparison. However, for solving real world problems in most practical applications, single elementary analysis tasks are not sufficient but need to be combined. In this paper, we propose a methodology and tool to design colormaps for combined analysis tasks. We define color mapping requirements and develop a set of design guidelines. The visualization expert is integrated in the design process to incorporate his/her design requirements, which may depend on the application, culture, and aesthetics. Our ColorCAT tool guides novice and expert designers through the creation of colormaps and allows the exploration of the design space of color mapping for combined analysis tasks.
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    Exploratory Text Analysis using Lexical Episode Plots
    (The Eurographics Association, 2015) Gold, Valentin; Rohrdantz, Christian; El-Assady, Mennatallah; E. Bertini and J. Kennedy and E. Puppo
    In this paper, we present Lexical Episode Plots, a novel automated text-mining and visual analytics approach for exploratory text analysis. In particular, we first describe an algorithm for automatically annotating text regions to examine prominent themes within natural language texts. The algorithm is based on lexical chaining to find spans of text in which the frequency of a term is significantly higher than its average in the document. In a second step we present an interactive visualization supporting the exploration and interpretation of Lexical Episodes. The visualization links higher-level thematic structures with content-level details. The methodological capabilities of our approach are illustrated by analyzing the televised US presidential election debates.
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    Visual Analytics of Work Behavior Data - Insights on Individual Differences
    (The Eurographics Association, 2015) Koldijk, Saskia; Bernard, Jürgen; Ruppert, Tobias; Kohlhammer, Jörn; Neerincx, Mark; Kraaij, Wessel; E. Bertini and J. Kennedy and E. Puppo
    Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.