2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)最新文献

Collaborative Immersive Analytics 协同沉浸式分析

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-18 DOI: 10.1007/978-3-030-01388-2_8

M. Billinghurst, Maxime Cordeil, A. Bezerianos, Todd Margolis

引用次数: 42

Multisensory Immersive Analytics 多感官沉浸式分析

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-18 DOI: 10.1007/978-3-030-01388-2_3

J. McCormack, Jonathan C. Roberts, Benjamin Bach, C. Freitas, T. Itoh, C. Hurter, K. Marriott

引用次数: 19

Interaction for Immersive Analytics 沉浸式分析的交互

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-16 DOI: 10.1007/978-3-030-01388-2_4

Wolfgang Büschel, Jian Chen, Raimund Dachselt, S. Drucker, Tim Dwyer, C. Görg, Tobias Isenberg, A. Kerren, Chris North, W. Stuerzlinger

引用次数: 44

Immersive Human-Centered Computational Analytics 沉浸式以人为中心的计算分析

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-16 DOI: 10.1007/978-3-030-01388-2_5

W. Stuerzlinger, Tim Dwyer, S. Drucker, C. Görg, Chris North, G. Scheuermann

引用次数: 10

Immersive Analytics: An Introduction 沉浸式分析:导论

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-16 DOI: 10.1007/978-3-030-01388-2_1

Tim Dwyer, K. Marriott, Tobias Isenberg, Karsten Klein, N. Riche, F. Schreiber, W. Stuerzlinger, B. Thomas

引用次数: 86

Immersive Analytics Applications in Life and Health Sciences 沉浸式分析在生命和健康科学中的应用

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-16 DOI: 10.1007/978-3-030-01388-2_10

Tobias Czauderna, J. Haga, Jinman Kim, Matthias Klapperstück, Karsten Klein, T. Kuhlen, S. Oeltze-Jafra, B. Sommer, F. Schreiber

引用次数: 11

Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data 多维数据沉浸式分析的轴和坐标系表示

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-01 DOI: 10.1109/BDVA.2018.8533892

A. Fonnet, Toinon Vigier, Yannick Prié, Grégoire Cliquet, Fabien Picarougne

{"title":"Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data","authors":"A. Fonnet, Toinon Vigier, Yannick Prié, Grégoire Cliquet, Fabien Picarougne","doi":"10.1109/BDVA.2018.8533892","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8533892","url":null,"abstract":"Axes are the main components of coordinate systems representations. They play a critical role for the visual analysis of multi-dimensional data. However their representation seems to have always be considered self evident, with oriented lines crossing at an origin, completed with labels such as ticks and names. Such classical representation show limits when it comes 3D visualization and immersive analytic (IA), mainly because orthogonal projection of points on linear axes is hard in a 3d environment, and because the user can move therefore the axes can get out of his field of view. In this paper we propose a task-based definition of axes and coordinate systems representation, as well as a tentative design space for coordinates systems representation in immersion. We also present an exploratory user study we carried out to compare three grid-based representations of coordinate systems for multidimensional data analysis with 3D scatterplots.","PeriodicalId":92742,"journal":{"name":"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)","volume":"1 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78627662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results LTMA:分层主题匹配，用于主题建模结果的比较探索、评估和改进

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-01 DOI: 10.1109/BDVA.2018.8534018

Mennatallah El-Assady, F. Sperrle, R. Sevastjanova, M. Sedlmair, D. Keim

{"title":"LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results","authors":"Mennatallah El-Assady, F. Sperrle, R. Sevastjanova, M. Sedlmair, D. Keim","doi":"10.1109/BDVA.2018.8534018","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8534018","url":null,"abstract":"We present LTMA, a Layered Topic Matching approach for the unsupervised comparative analysis of topic modeling results. Due to the vast number of available modeling algorithms, an efficient and effective comparison of their results is detrimental to a data- and task-driven selection of a model. LTMA automates this comparative analysis by providing topic matching based on two layers (document-overlap and keyword-similarity), creating a novel topic-match data structure. This data structure builds a basis for model exploration and optimization, thus, allowing for an efficient evaluation of their performance in the context of a given type of text data and task. This is especially important for text types where an annotated gold standard dataset is not readily available and, therefore, quantitative evaluation methods are not applicable. We confirm the usefulness of our technique based on three use cases, namely: (1) the automatic comparative evaluation of topic models, (2) the visual exploration of topic modeling differences, and (3) the optimization of topic modeling results through combining matches.","PeriodicalId":92742,"journal":{"name":"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)","volume":"27 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82314810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Evaluating Navigation Techniques for 3D Graph Visualizations in Virtual Reality 评估虚拟现实中三维图形可视化的导航技术

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-01 DOI: 10.1109/BDVA.2018.8533895

Adam Drogemuller, Andrew Cunningham, James A. Walsh, Maxime Cordeil, W. Ross, B. Thomas

{"title":"Evaluating Navigation Techniques for 3D Graph Visualizations in Virtual Reality","authors":"Adam Drogemuller, Andrew Cunningham, James A. Walsh, Maxime Cordeil, W. Ross, B. Thomas","doi":"10.1109/BDVA.2018.8533895","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8533895","url":null,"abstract":"Research into how virtual reality (VR) can be a beneficial technology for new and emerging large, complex data visualizations for data scientists is ongoing. In this paper, we evaluate three-dimensional VR navigation technique for data visualizations and test their effectiveness with a large graph visualization. We evaluate two prominent navigation techniques employed in VR (Teleportation and One-Handed Flying) against two less common methods (Two-Handed Flying and Worlds In Miniature) and evaluate their performance and effectiveness through a series of tasks. We found Steering Patterns (One-Handed Flying and Two-Handed Flying) to be faster and preferred by participants for completing searching tasks in comparision to Teleportation. Worlds-In-Miniature was the least physically demanding of the navigations, and was preferred by participants for tasks that required an overview of the graph such as triangle counting.","PeriodicalId":92742,"journal":{"name":"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)","volume":"70 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86290352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 36

SocialOcean: Visual Analysis and Characterization of Social Media Bubbles SocialOcean:社交媒体泡沫的视觉分析和特征

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany) Pub Date : 2018-10-01 DOI: 10.1109/BDVA.2018.8534023

A. Diehl, Michael Hundt, Johannes Häussler, Daniel Seebacher, Siming Chen, Nida Cilasun, D. Keim, T. Schreck

{"title":"SocialOcean: Visual Analysis and Characterization of Social Media Bubbles","authors":"A. Diehl, Michael Hundt, Johannes Häussler, Daniel Seebacher, Siming Chen, Nida Cilasun, D. Keim, T. Schreck","doi":"10.1109/BDVA.2018.8534023","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8534023","url":null,"abstract":"Social media allows citizens, corporations, and authorities to create, post, and exchange information. The study of its dynamics will enable analysts to understand user activities and social group characteristics such as connectedness, geospatial distribution, and temporal behavior. In this context, social media bubbles can be defined as social groups that exhibit certain biases in social media. These biases strongly depend on the dimensions selected in the analysis, for example, topic affinity, credibility, sentiment, and geographic distribution. In this paper, we present SocialOcean, a visual analytics system that allows for the investigation of social media bubbles. There exists a large body of research in social sciences which identifies important dimensions of social media bubbles (SMBs). While such dimensions have been studied separately, and also some of them in combination, it is still an open question which dimensions play the most important role in defining SMBs. Since the concept of SMBs is fairly recent, there are many unknowns regarding their characterization. We investigate the thematic and spatiotemporal characteristics of SMBs and present a visual analytics system to address questions such as: What are the most important dimensions that characterize SMBs? and How SMBs embody in the presence of specific events that resonate with them? We illustrate our approach using three different real scenarios related to the single event of Boston Marathon Bombing, and political news about Global Warming. We perform an expert evaluation, analyze the experts' feedback, and present the lessons learned.","PeriodicalId":92742,"journal":{"name":"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)","volume":"18 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85027158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1