EuroVisPosters2018
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Browsing EuroVisPosters2018 by Subject "Information visualization"
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Item Case Studies of Shareable Personal Map Visualization(The Eurographics Association, 2018) Ruchikachorn, Puripant; Anna Puig and Renata RaidouThis paper presents two examples of personal data visualizations to be shared among peers. The visualized and shared data were travel destinations in Thailand and daily commutes in Bangkok, Thailand. The former gathered much attention with almost a million visitors within the first week after launch or approximately 2% of internet users in Thailand. Despite minimal data collection, large data samples of the first case study enable various analyses. The easy-to-use interfaces and simple visualizations can be a model of the genre of personal visualization whose main task is to share.Item CV3: Visual Exploration, Assessment, and Comparison of CVs(The Eurographics Association, 2018) Filipov, Velitchko Andreev; Federico, Paolo; Miksch, Silvia; Anna Puig and Renata RaidouCurriculum Vitae (CV) is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatial, temporal, nominal, and ordinal data. Commonly, comparing and assessing CVs is done by viewing them in a side-by-side fashion. This becomes challenging when comparing more than two CVs, because the reader is required to switch attention back and forth, the overview becomes cluttered, and assessing the CVs becomes a nontrivial task. In order to address this challenge, we propose the design and implementation of an interactive exploration environment capable of comparing multiple CVs, visualizing their information in a clear manner, whilst maintaining a clean overview. Our approach offers users a new way to explore, assess, and compare multiple CVs.Item The Impact of Visualizing Uncertainty on Train Trip Selection(The Eurographics Association, 2018) Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von; Anna Puig and Renata RaidouTrain trip planning means deciding on one of several travel connections. Possible train delays lead to uncertainties in the schedule connections and may influence the planning decisions. Although several designs for the visualization of the available train trips exist, it is still unclear how these designs and the visualization of delay uncertainty influence the decision making. We let 86 people decide ten times on different train trips using one of four designs, (not) visualizing delay uncertainty and with(out) temporal constraints. The results show that planning decisions depend on whether the design is visual or textual and on the availability of trip uncertainty visualization. In case of a temporal constraint, non-critical train connections are preferred.Item Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations(The Eurographics Association, 2018) Eichner, Christian; Schumann, Heidrun; Tominski, Christian; Anna Puig and Renata RaidouParameter analysis can be used to find out how individual parameters influence the output of an algorithm. We aim to support the visual parameter analysis of algorithms for the segmentation of time series. To this end, we automatically search for correlations between parameters and the segmentation outputs. Correlations are not only determined globally, but also locally within parameter subspaces. Calculated correlations are used to visually emphasize parameter and value ranges with high influence on the segmentation. By interactive exploration, the analyst can study the multidimensional parameter space in depth.Item ViMEC: Interactive Application for Micro-Cluster Visualizations(The Eurographics Association, 2018) Schmidt, Florian; Ehrenfeld, Yannick; Anna Puig and Renata RaidouDigitalization increases the opportunity to collect vast amounts of data in a large scale manner. In order to handle the information overload, data mining techniques like online clustering are performed. A lot of online clusterers are based on the concept of micro-clusters in order to represent the given data stream. Based on its definition, micro-clusters can be represented as an n-sphere. Online clustering algorithms like BIRCH or DenStream use different strategies for maintaining the micro-clusters in evolving time series, but using the same underlying key concept storing a summarized version of the data stream in their models. We propose ViMEC, an application for multidimensional micro-cluster visualization, giving the user the opportunity to gain understanding of the internal behaviour of the clustering model. For a given time frame, ViMEC gives the user three different types of visualizations presenting different levels of details: Overview, Pair-view and Detail-view. These views combine not only a summary and detail representations for the different dimensions, but also aim to show different relations between dimensions. Preliminary results show, that large data sets with up to 20,000 data points can be visualized within less than 20 seconds.Item A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways(The Eurographics Association, 2018) Wu, Hsiang-Yun; Nöllenburg, Martin; Viola, Ivan; Anna Puig and Renata RaidouThis poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the human body, have been increasingly investigated due to the development of analysis processes and are compiled into pathway diagrams to provide an overview of reaction in human body. This complex network includes about 5,000 metabolites and 7,500 reactions, which are hierarchically nested and difficult to visualize. We collect and analyze well-known human metabolic pathway diagrams, and summarize the design choices of these diagrams, respectively. Together with a machine-generated diagram, we can understand the visual complexity of three hand-drawn and one machine-generated diagrams.