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International Symposiu on Visual Information Communication and Interaction最新文献

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Interaction and evaluation techniques for information visualization: future directions 信息可视化的交互与评价技术:未来方向
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2499784
A. Kerren
{"title":"Interaction and evaluation techniques for information visualization: future directions","authors":"A. Kerren","doi":"10.1145/2493102.2499784","DOIUrl":"https://doi.org/10.1145/2493102.2499784","url":null,"abstract":"Intuitive and efficient interaction techniques are a fundamental component of most visualization tools. The integration of interaction techniques into visual representations (and automatic analysis methods in visual analytics) supports the human-information discourse and can be realized in various ways. But we also have to take care that our interaction and visual representation techniques are validated in order to get a clear understanding of their efficiency and usability. In this talk, I will explore current and identify future trends in the development of novel interaction and evaluation techniques for information visualization and related fields. Here, I especially want to highlight recent findings in the use of brain-computer interfaces to adapt and evaluate visualizations.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130139409","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: 0
Euler diagram codes: interpretation and generation 欧拉图代码:解释和生成
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493116
Paolo Bottoni, G. Costagliola, Mattia De Rosa, A. Fish, V. Fuccella
{"title":"Euler diagram codes: interpretation and generation","authors":"Paolo Bottoni, G. Costagliola, Mattia De Rosa, A. Fish, V. Fuccella","doi":"10.1145/2493102.2493116","DOIUrl":"https://doi.org/10.1145/2493102.2493116","url":null,"abstract":"Euler diagrams (EDs) are a popular means of visualizing set-based relationships. We describe the advancement of EulerSketch, based on a novel encoding of EDs. In particular, EulerSketch allows a user to sketch and interact with EDs and automatically produce a code representation for them. It also enables code storage and retrieval and permits to automatically re-draw an ED from its code representation. Some features are inspired by earlier works [4, 6, 3].","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"18 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114114599","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: 4
Exploring mapping-based visualisations of large remote image databases 探索大型远程图像数据库的基于映射的可视化
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493120
William Plant, G. Schaefer
{"title":"Exploring mapping-based visualisations of large remote image databases","authors":"William Plant, G. Schaefer","doi":"10.1145/2493102.2493120","DOIUrl":"https://doi.org/10.1145/2493102.2493120","url":null,"abstract":"Image database visualisations, in particular mapping-based visualisations, provide an interesting approach to accessing image repositories as they are able to overcome some of the drawbacks associated with retrieval based approaches. However, making a mapping-based approach work efficiently on large remote image databases, has yet to be explored. In this paper, we present Web-Based Images Browser (WBIB), a novel system that efficiently employs image pyramids to reduce bandwidth requirements so that users can interactively explore large remote image databases.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121571453","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
Demonstrating data using storyboard visualization tool 使用故事板可视化工具演示数据
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493115
G. Derksen, Stan Ruecker, T. Causer, Melissa Mhairi Terras
{"title":"Demonstrating data using storyboard visualization tool","authors":"G. Derksen, Stan Ruecker, T. Causer, Melissa Mhairi Terras","doi":"10.1145/2493102.2493115","DOIUrl":"https://doi.org/10.1145/2493102.2493115","url":null,"abstract":"With the growing importance of big data, and perhaps more significantly, the application of big data to the quantified self, it is more useful than ever for designers to be conversant with the wide range of measurements that can be obtained from various forms of instrumentation. When chairs can record and communicate details about sitting, sidewalks make suggestions about walking, and shavers monitor diet, interesting opportunities will arise for designers to generate new affordances based on the data. However, for many designers, the process of understanding the numbers available in the spreadsheets and databases may prove prohibitive, unless new methods are developed for showing relevance while not losing track of the underlying information. In this presentation, I propose a new genre of \"data stories,\" where the goal is to create narratives that are anchored in big data, but provide a form of shared experience that can be used to both shape design ideas and communicate their potential significance.\u0000 More generally, Data Stories might take the form of shared narratives, concept maps, conversational models, or corporate missions that have the best chance to be adopted by listeners of stories if they have data anchoring points of fact. Data Stories are important because they can help to provide context for information and thereby create a shared framework for understanding. They can also help to make information compelling and memorable. In addition, they provide a starting point for others to contribute, modify, and personalize. From the designer's perspective, they are a way to establish authority, show practical approaches that are anchored in the data, and clarify details in memorable descriptions.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607139","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: 2
Visual and interactive analysis of a large collection of open data with the relative neighborhood graph 使用相对邻域图对大量开放数据进行可视化和交互式分析
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493119
Tianyang Liu, F. Bouali, G. Venturini
{"title":"Visual and interactive analysis of a large collection of open data with the relative neighborhood graph","authors":"Tianyang Liu, F. Bouali, G. Venturini","doi":"10.1145/2493102.2493119","DOIUrl":"https://doi.org/10.1145/2493102.2493119","url":null,"abstract":"We deal in this paper with the problem of creating an interactive and visual map for a large collection of Open datasets. We first describe how to define a representation space for such data. We use text mining techniques to create features. Then, with a similarity measure between Open datasets, we use the Relative Neighbors method for building a proximity graph between datasets. We use a force-directed layout method to visualize the graph (Tulip Software). We present the results with a collection of 300,000 datasets from the French Open data web site, in which the display of the graph is limited to 150,000 datasets. We study the discovered clusters and we show how they can be used to browse this large collection.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116535528","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
Intent-driven model synthesis 意图驱动的模型综合
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493107
Mofei Song, Fei-qian Zhang, Zhengxing Sun, Yan Zhang
{"title":"Intent-driven model synthesis","authors":"Mofei Song, Fei-qian Zhang, Zhengxing Sun, Yan Zhang","doi":"10.1145/2493102.2493107","DOIUrl":"https://doi.org/10.1145/2493102.2493107","url":null,"abstract":"This paper presents an intent-driven model synthesis method. The method introduces an interactive straight prismatic construction space to realize the structure and shape variation of the example model simultaneously. The construction space defines the global size and the local shape feature of the desired model. Users can draw a closed curve and some skeleton lines by a sketch-based interface to design the construction space. Our algorithm first uses a quadrangulation algorithm to create a subdivision plane with the same contour as the closed curve. And the drawn skeleton lines control the local orientation of split units in the plane. Then it creates the construction space by sweeping the subdivision plane. Finally, it fills the construction space with the deformed model pieces while maintaining the generalized adjacent constraints, which are defined according to the example model. We demonstrate the effectiveness of the approach on large-scale complex models such as architecture, mountains.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127699134","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: 0
A method of hierarchical time-series data visualization 一种分层时间序列数据可视化方法
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493121
Ning Li, Zhifang Jiang, Zixiang Liu, Xiangxu Meng
{"title":"A method of hierarchical time-series data visualization","authors":"Ning Li, Zhifang Jiang, Zixiang Liu, Xiangxu Meng","doi":"10.1145/2493102.2493121","DOIUrl":"https://doi.org/10.1145/2493102.2493121","url":null,"abstract":"In this paper, we propose a new method of visualizing hierarchy and time-series data. We use the node-linked technology to show hierarchy structures, rectangles from the left to right to represent the time-series data and a pie chart to represent statistical information about the time-series data. The method is designed to display and compare the corresponding data of each layer, and then observe the differences between the nodes at each layer and the trends of the thing. We applied this method in the urban air quality data visualization and achieved good results.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116685906","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: 6
"Big picture": mixed-initiative visual analytics of big data “大图景”:混合主动的大数据可视化分析
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2499786
Michelle X. Zhou
{"title":"\"Big picture\": mixed-initiative visual analytics of big data","authors":"Michelle X. Zhou","doi":"10.1145/2493102.2499786","DOIUrl":"https://doi.org/10.1145/2493102.2499786","url":null,"abstract":"Information graphics have been used for thousands of years to help illustrate ideas and communicate information. However, it requires skills and time to hand craft high-quality, customized information graphics for specific situations (e.g., data characteristics and user tasks). The problem becomes more acute when we must deal with big data. To address this problem, we are researching and developing mixed-initiative visual analytic systems that leverage both the intelligence of humans and machines to aid users in deriving insights from massive data. On the one hand, such a system automatically guides users to perform their data analytic tasks by recommending suitable visualization and discovery paths in context. On the other hand, users interactively explore, verify, and improve visual analytic results, which in turn helps the system to learn from users' behavior and improve its quality over time. In this talk, I will present key technologies that we have developed in building mixed-initiative visual analytic systems, including feature-based visualization recommendation and optimization-based approaches to dynamic data transformation for more effective visualization. I will also use concrete applications to demonstrate the use and value of mixed-initiative visual analytic systems, and discuss existing challenges and future directions in this area.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835299","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: 2
Visualisation of large image collections 大型图像集合的可视化
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2499787
G. Schaefer
{"title":"Visualisation of large image collections","authors":"G. Schaefer","doi":"10.1145/2493102.2499787","DOIUrl":"https://doi.org/10.1145/2493102.2499787","url":null,"abstract":"Visual information, in particular in form of images, is becoming increasingly important, and consequently efficient and effective tools for managing these rapidly growing collections are highly sought after. Interactive image database browsing systems provide an interesting alternative to retrieval-based approaches as they let the user explore an image dataset in an intuitive fashion. Based on content-based concepts, large image collections are visualised so that visually similar images are located close in the visualisation space. Once an image collection is displayed, the user is then given the opportunity to interactively explore it through various browsing operations. In my talk, I will highlight the three main approaches to visualising image databases, namely mapping-based, clustering-based and graph-based visualisations and will then present some of the systems that we have developed in our lab for this purpose, such as the Hue Sphere Image Browser, the Honeycomb Image Browser and their recent ports to large multi-touch screen environments and mobile devices.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131343939","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: 0
Time-space varying visual analysis of micro-blog sentiment 微博情感的时空变化视觉分析
International Symposiu on Visual Information Communication and Interaction Pub Date : 2013-08-17 DOI: 10.1145/2493102.2493110
Chenghai Zhang, Yuhua Liu, Changbo Wang
{"title":"Time-space varying visual analysis of micro-blog sentiment","authors":"Chenghai Zhang, Yuhua Liu, Changbo Wang","doi":"10.1145/2493102.2493110","DOIUrl":"https://doi.org/10.1145/2493102.2493110","url":null,"abstract":"Micro-blog sentiment analysis attracts much attention by companies, governments and other organizations. It could help companies to estimate the extent of product acceptance and to determine marketing strategies, governments to monitor online public perception and to improve government-public relation, etc. Researchers mainly focused on time-varying analysis or space varying analysis.\u0000 This paper combines time-varying analysis and space varying analysis and proposes an Electron Cloud Model (ECM) based on the Schrodinger equation and Niels Bohr atomic theory to conduct time-varying visual analysis of micro-blog sentiments. In the ECM, an attempt to map a score of sentiment to the electron stability is made. Kernel density estimation and edge bundling are used to conduct space-varying visual analysis of sentiments. The former visualizes sentiment changes in different levels of detail naturally while the latter can reduce visual clutter of edge crossing and reveal high-level edge pattern.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129661792","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
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