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
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8534029
U. Engelke, A. Abdul-Rahman, Min Chen
Visualization is widely accepted as an effective medium to communicate complex data to a human observer. To do this effectively, visualizations have to be carefully designed to achieve a certain intent. Visualization guidelines are proposed by the academic research community and practitioners to facilitate effective visualization design. A few guidelines have been received a fair amount of attention, and effort has been made to study, discuss, validate, falsify, adopt, adapt, or extend them. However, many guidelines have not received adequate exposure or have not had the opportunities to undergone a similar level of scrutiny. When some of these guidelines managed to emerge or resurface, it is often not clear about their scientific rationale and the state of play in their validation. In this paper, we juxtapose the development and consumption of visualization guidelines with that of consumer products. We outline a conceptual model for a Visualization Guidelines Supply Chain, VISupply. It describes an idealized loop of actions for formulating, curating, using, and improving guidelines systematically. By enabling an ecosystem for visualization guidelines, the community can collectively optimize these guidelines and adopt them with confidence in a given context. We examine the current and potential roles of different stakeholders in this ecosystem.
{"title":"VISupply: A Supply-Chain Process Model for Visualization Guidelines","authors":"U. Engelke, A. Abdul-Rahman, Min Chen","doi":"10.1109/BDVA.2018.8534029","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8534029","url":null,"abstract":"Visualization is widely accepted as an effective medium to communicate complex data to a human observer. To do this effectively, visualizations have to be carefully designed to achieve a certain intent. Visualization guidelines are proposed by the academic research community and practitioners to facilitate effective visualization design. A few guidelines have been received a fair amount of attention, and effort has been made to study, discuss, validate, falsify, adopt, adapt, or extend them. However, many guidelines have not received adequate exposure or have not had the opportunities to undergone a similar level of scrutiny. When some of these guidelines managed to emerge or resurface, it is often not clear about their scientific rationale and the state of play in their validation. In this paper, we juxtapose the development and consumption of visualization guidelines with that of consumer products. We outline a conceptual model for a Visualization Guidelines Supply Chain, VISupply. It describes an idealized loop of actions for formulating, curating, using, and improving guidelines systematically. By enabling an ecosystem for visualization guidelines, the community can collectively optimize these guidelines and adopt them with confidence in a given context. We examine the current and potential roles of different stakeholders in this ecosystem.","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":"55 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81040789","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8533897
Qi Han, M. John, Steffen Koch, Ivan Assenov, T. Ertl
In recent years, interactive visualization to analyze text documents has gained an impressive momentum. This is not surprising considering the fast increase of electronically available textual documents of various kinds. These include, for example, patents, scholarly documents, social media messages, and many other sources that contain valuable knowledge and insights for many stakeholders. Interactive text visualization turned out to be an important means for exploring and gaining insights into complex and often large document collections. An established visualization strategy to represent such collections is using projection-based techniques that visualize documents as glyphs in a 2D view aiming to reflect the semantic similarity of documents by the proximity of their placement. Static labels have been suggested to characterize the overall topics contained in the projected data to improve the effectiveness of such visualization techniques. Other approaches employ magic lenses that enable users to explore the 2D spatialization freely on various granularity levels. In this work, we propose a visual exploration approach that combines cluster-based labeling of projected documents with an interaction concept for magic lens techniques. We offer a set of novel interactive features to support a smooth transition between static labels and the magic lens approach while exploiting the different levels of visual abstraction of both techniques without introducing additional clutter through overdraw. Finally, we provide insights gained from a preliminary user study and present the benefits of our approach.
{"title":"LabelTransfer - Integrating Static and Dynamic Label Representation for Focus+Context Text Exploration","authors":"Qi Han, M. John, Steffen Koch, Ivan Assenov, T. Ertl","doi":"10.1109/BDVA.2018.8533897","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8533897","url":null,"abstract":"In recent years, interactive visualization to analyze text documents has gained an impressive momentum. This is not surprising considering the fast increase of electronically available textual documents of various kinds. These include, for example, patents, scholarly documents, social media messages, and many other sources that contain valuable knowledge and insights for many stakeholders. Interactive text visualization turned out to be an important means for exploring and gaining insights into complex and often large document collections. An established visualization strategy to represent such collections is using projection-based techniques that visualize documents as glyphs in a 2D view aiming to reflect the semantic similarity of documents by the proximity of their placement. Static labels have been suggested to characterize the overall topics contained in the projected data to improve the effectiveness of such visualization techniques. Other approaches employ magic lenses that enable users to explore the 2D spatialization freely on various granularity levels. In this work, we propose a visual exploration approach that combines cluster-based labeling of projected documents with an interaction concept for magic lens techniques. We offer a set of novel interactive features to support a smooth transition between static labels and the magic lens approach while exploiting the different levels of visual abstraction of both techniques without introducing additional clutter through overdraw. Finally, we provide insights gained from a preliminary user study and present the benefits of our approach.","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":"83 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90090768","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8533893
Tahir Mahmood, Erik Butler, Nicholas Davis, Jian Huang, Aidong Lu
Multiple Coordinated Views (MCV) has been widely used in visualization. This work explores Multiple Coordinated Spaces (MCS), a 3D version of MCV, in order to integrate various 2D displays in a large physical environment as a unified analysis workspace. Built upon the rich background of distributed and embodied cognition, MCS supports interactive analysis in a connected, distributed set of subspaces. For MCS, we have developed visualization and interactive techniques for coordinating augmented reality devices together with classical WIMP GUIs systems. We also demonstrate the usages of MCS using a multivariate, geo-spatial biodiversity application. The major advantage of MCS is a flexible coordination framework for creating new immersive analytics methods by mixing visualizations from different devices, and mixing physical and virtual operations from different environments.
{"title":"Building Multiple Coordinated Spaces for Effective Immersive Analytics through Distributed Cognition","authors":"Tahir Mahmood, Erik Butler, Nicholas Davis, Jian Huang, Aidong Lu","doi":"10.1109/BDVA.2018.8533893","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8533893","url":null,"abstract":"Multiple Coordinated Views (MCV) has been widely used in visualization. This work explores Multiple Coordinated Spaces (MCS), a 3D version of MCV, in order to integrate various 2D displays in a large physical environment as a unified analysis workspace. Built upon the rich background of distributed and embodied cognition, MCS supports interactive analysis in a connected, distributed set of subspaces. For MCS, we have developed visualization and interactive techniques for coordinating augmented reality devices together with classical WIMP GUIs systems. We also demonstrate the usages of MCS using a multivariate, geo-spatial biodiversity application. The major advantage of MCS is a flexible coordination framework for creating new immersive analytics methods by mixing visualizations from different devices, and mixing physical and virtual operations from different environments.","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":"124 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":"75868066","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}
{"title":"BDVA 2018 Author Index","authors":"","doi":"10.1109/bdva.2018.8533891","DOIUrl":"https://doi.org/10.1109/bdva.2018.8533891","url":null,"abstract":"C Çetin, Gökhan ................................................ 21 Chen, Min ....................................................... 82 Chen, Siming .................................................. 39 Cilasun, Nida .................................................. 39 Cliquet, Gregoire ............................................ 91 Cordeil, Maxime ............................................. 50 Cunningham, Andrew ....................... 31, 50, 167","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":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89224734","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8534021
Md. Iqbal Hossain, S. Kobourov, H. Purchase, M. Surdeanu
We describe a system designed to process, analyze and visualize academic data, from research papers and research proposals to list of courses taught, consulting, internal and external service. This can be helpful in identifying experts in a given field for future collaborations, as well as in putting together strong multi-disciplinary teams to apply for future research funding. Our REMatch system aims to support such tasks by leveraging natural language processing, machine learning, and interactive visualization. Specifically, REMatch provides a functional system that implements in-the-browser, map-based interactive navigation of a large underlying network, supporting semantic zooming, panning, searching, and map overlays. A prototype of the system is evaluated with a small-scale case study.
{"title":"REMatch: Research Expert Matching System","authors":"Md. Iqbal Hossain, S. Kobourov, H. Purchase, M. Surdeanu","doi":"10.1109/BDVA.2018.8534021","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8534021","url":null,"abstract":"We describe a system designed to process, analyze and visualize academic data, from research papers and research proposals to list of courses taught, consulting, internal and external service. This can be helpful in identifying experts in a given field for future collaborations, as well as in putting together strong multi-disciplinary teams to apply for future research funding. Our REMatch system aims to support such tasks by leveraging natural language processing, machine learning, and interactive visualization. Specifically, REMatch provides a functional system that implements in-the-browser, map-based interactive navigation of a large underlying network, supporting semantic zooming, panning, searching, and map overlays. A prototype of the system is evaluated with a small-scale case study.","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":"40 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":"73603918","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8534024
James A. Walsh, Andrew Cunningham, Ross T. Smith, B. Thomas
Despite the resurgence of virtual reality (VR), the primary method of interacting with the environment is using generic controllers. Given the often-purpose-built nature of applications within VR, this is surprising, as despite the effort put into the design of the application itself, the same attention is not paid to the input control. This is despite the advantages that tangible interfaces have for user understanding, especially in the context of visualization, where user understanding is paramount. This paper presents the adaptation of a previous 2D temporal-geospatial visualization into VR, and more importantly, describes the development of a novel 8DOF Tangible User Interface developed to support the exploration of that data. For our application, this centers around the exploration of geospatial data to explore colocation and divergence of entities, but could easily be extended to other domains. We present our novel controller as an example of the benefits of the utilization of purpose built physical controllers as a first-tier method of enabling immersive analytics. We describe the immersive system and controller, followed by an example use case and other applications encouraging further development of novel tangibles as a key component of immersive data analytics.
{"title":"Tangible Braille Plot: Tangibly Exploring Geo-Temporal Data in Virtual Reality","authors":"James A. Walsh, Andrew Cunningham, Ross T. Smith, B. Thomas","doi":"10.1109/BDVA.2018.8534024","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8534024","url":null,"abstract":"Despite the resurgence of virtual reality (VR), the primary method of interacting with the environment is using generic controllers. Given the often-purpose-built nature of applications within VR, this is surprising, as despite the effort put into the design of the application itself, the same attention is not paid to the input control. This is despite the advantages that tangible interfaces have for user understanding, especially in the context of visualization, where user understanding is paramount. This paper presents the adaptation of a previous 2D temporal-geospatial visualization into VR, and more importantly, describes the development of a novel 8DOF Tangible User Interface developed to support the exploration of that data. For our application, this centers around the exploration of geospatial data to explore colocation and divergence of entities, but could easily be extended to other domains. We present our novel controller as an example of the benefits of the utilization of purpose built physical controllers as a first-tier method of enabling immersive analytics. We describe the immersive system and controller, followed by an example use case and other applications encouraging further development of novel tangibles as a key component of immersive data analytics.","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":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79180382","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8533894
Daniel Steinböck, E. Gröller, Manuela Waldner
Bipartite graphs are typically visualized using linked lists or matrices. However, these classic visualization techniques do not scale well with the number of nodes. Biclustering has been used to aggregate edges, but not to create linked lists with thousands of nodes. In this paper, we present a new casual exploration interface for large, weighted bipartite graphs, which allows for multi-scale exploration through hierarchical aggregation of nodes and edges using biclustering in linked lists. We demonstrate the usefulness of the technique using two data sets: a database of media advertising expenses of public authorities and author-keyword co-occurrences from the IEEE Visualization Publication collection. Through an insight-based study with lay users, we show that the biclustering interface leads to longer exploration times, more insights, and more unexpected findings than a baseline interface using only filtering. However, users also perceive the biclustering interface as more complex.
{"title":"Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering","authors":"Daniel Steinböck, E. Gröller, Manuela Waldner","doi":"10.1109/BDVA.2018.8533894","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8533894","url":null,"abstract":"Bipartite graphs are typically visualized using linked lists or matrices. However, these classic visualization techniques do not scale well with the number of nodes. Biclustering has been used to aggregate edges, but not to create linked lists with thousands of nodes. In this paper, we present a new casual exploration interface for large, weighted bipartite graphs, which allows for multi-scale exploration through hierarchical aggregation of nodes and edges using biclustering in linked lists. We demonstrate the usefulness of the technique using two data sets: a database of media advertising expenses of public authorities and author-keyword co-occurrences from the IEEE Visualization Publication collection. Through an insight-based study with lay users, we show that the biclustering interface leads to longer exploration times, more insights, and more unexpected findings than a baseline interface using only filtering. However, users also perceive the biclustering interface as more complex.","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":"05 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":"86029518","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8533896
Andrew Cunningham, James A. Walsh, B. Thomas
Recent advances in virtual reality technologies enable high-fidelity exploration of data in immersive environments. This is advantageous for professional applications of high-dimensional datasets (such as geo-temporal narratives), as we can leverage all three spatial axes while immersing the user in the information itself. Geo-temporal narratives tell a story of entities, their movements, and as a result, their potential relationships, thereby defining the who, what, where, and when that define a story; everything except the why. This paper describes an immersive virtual reality system we have developed to convey these narratives, specifically focusing on the law enforcement domain. The system lets users not only view who was where and when, but also view explicit and implicit relationships between entities, repeated visits to recurring locations, as well as the crucial descriptive information supporting the why. We present the results of an expert review of the system from federal law enforcement and defence agencies that validate our approach.
{"title":"Immersive Visualisation of Geo-Temporal Narratives in Law Enforcement","authors":"Andrew Cunningham, James A. Walsh, B. Thomas","doi":"10.1109/BDVA.2018.8533896","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8533896","url":null,"abstract":"Recent advances in virtual reality technologies enable high-fidelity exploration of data in immersive environments. This is advantageous for professional applications of high-dimensional datasets (such as geo-temporal narratives), as we can leverage all three spatial axes while immersing the user in the information itself. Geo-temporal narratives tell a story of entities, their movements, and as a result, their potential relationships, thereby defining the who, what, where, and when that define a story; everything except the why. This paper describes an immersive virtual reality system we have developed to convey these narratives, specifically focusing on the law enforcement domain. The system lets users not only view who was where and when, but also view explicit and implicit relationships between entities, repeated visits to recurring locations, as well as the crucial descriptive information supporting the why. We present the results of an expert review of the system from federal law enforcement and defence agencies that validate our approach.","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":"107 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76692740","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}
Pub Date : 2018-10-01DOI: 10.1109/BDVA.2018.8534022
M. Stein, Thorsten Breitkreutz, Johannes Häussler, Daniel Seebacher, C. Niederberger, T. Schreck, Michael Grossniklaus, D. Keim, H. Janetzko
The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the development of new strategies. In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations. Identifying suitable visualizations for a specific situation is key to a successful analysis. Existing systems enable the interactive selection of different visualization facets to support the analysis process. However, an interactive selection of appropriate visualizations is a difficult, complex, and time-consuming task. In this paper, we propose a four-step analytics conceptual workflow for an automatic selection of appropriate views for key situations in soccer games. Our concept covers classification, specification, explanation, and alteration of match situations, effectively enabling the analysts to focus on important game situations and the determination of alternative moves. Combining abstract visualizations with real world video recordings by Immersive Visual Analytics and descriptive storylines, we support domain experts in understanding key situations. We demonstrate the usefulness of our proposed conceptual workflow via two proofs of concept and evaluate our system by comparing our results to manual video annotations by domain experts. Initial expert feedback shows that our proposed concept improves the understanding of competitive sports and leads to a more efficient data analysis.
{"title":"Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis","authors":"M. Stein, Thorsten Breitkreutz, Johannes Häussler, Daniel Seebacher, C. Niederberger, T. Schreck, Michael Grossniklaus, D. Keim, H. Janetzko","doi":"10.1109/BDVA.2018.8534022","DOIUrl":"https://doi.org/10.1109/BDVA.2018.8534022","url":null,"abstract":"The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the development of new strategies. In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations. Identifying suitable visualizations for a specific situation is key to a successful analysis. Existing systems enable the interactive selection of different visualization facets to support the analysis process. However, an interactive selection of appropriate visualizations is a difficult, complex, and time-consuming task. In this paper, we propose a four-step analytics conceptual workflow for an automatic selection of appropriate views for key situations in soccer games. Our concept covers classification, specification, explanation, and alteration of match situations, effectively enabling the analysts to focus on important game situations and the determination of alternative moves. Combining abstract visualizations with real world video recordings by Immersive Visual Analytics and descriptive storylines, we support domain experts in understanding key situations. We demonstrate the usefulness of our proposed conceptual workflow via two proofs of concept and evaluate our system by comparing our results to manual video annotations by domain experts. Initial expert feedback shows that our proposed concept improves the understanding of competitive sports and leads to a more efficient data analysis.","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":"298 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75103614","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}
Pub Date : 2018-10-01DOI: 10.1109/bdva.2018.8533890
M. Behrisch, Rob Kruger, Fritz Lekschas, T. Schreck, N. Gehlenborg, W. Stuerzlinger, A. Cunningham, James A. Walsh, D. Keim, Adam Drogemuller, Maxime Cordeil, William Rosz, B. Thomas, Tim Dwyer
{"title":"BDVA 2018 Table of Contents","authors":"M. Behrisch, Rob Kruger, Fritz Lekschas, T. Schreck, N. Gehlenborg, W. Stuerzlinger, A. Cunningham, James A. Walsh, D. Keim, Adam Drogemuller, Maxime Cordeil, William Rosz, B. Thomas, Tim Dwyer","doi":"10.1109/bdva.2018.8533890","DOIUrl":"https://doi.org/10.1109/bdva.2018.8533890","url":null,"abstract":"","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":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84161963","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}
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)
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