2016 Big Data Visual Analytics (BDVA)最新文献

Communicating the Effect of Human Behaviour on the Great Barrier Reef via Mixed Reality Visualisation 通过混合现实可视化传达人类行为对大堡礁的影响

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-12-22 DOI: 10.1109/BDVA.2016.7787046

H. Nim, Mengyang Wang, Yujie Zhu, B. Sommer, F. Schreiber, S. Boyd, Stephen Jia Wang

引用次数: 12

Visual Analytics of Eco-Acoustic Recordings: The Use of Acoustic Indices to Visualise 24-Hour Recordings 生态声学记录的可视化分析:使用声学指数来可视化24小时记录

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-22 DOI: 10.1109/BDVA.2016.7787051

M. Sankupellay, Tshering Dema, S. Tarar, M. Towsey, A. Truskinger, M. Brereton, P. Roe

引用次数: 3

ContextuWall: Peer Collaboration Using (Large) Displays contextwall:使用(大型)显示器的对等协作

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787047

Matthias Klapperstück, Tobias Czauderna, Cagatay Goncu, Jaroslaw Glowacki, Tim Dwyer, F. Schreiber, K. Marriott

引用次数: 12

Temporal-Geospatial Cooperative Visual Analysis 时间-地理空间协同可视化分析

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787050

J. A. Walsh, J. Zucco, Ross T. Smith, B. Thomas

{"title":"Temporal-Geospatial Cooperative Visual Analysis","authors":"J. A. Walsh, J. Zucco, Ross T. Smith, B. Thomas","doi":"10.1109/BDVA.2016.7787050","DOIUrl":"https://doi.org/10.1109/BDVA.2016.7787050","url":null,"abstract":"Given the diverse set of pervasive tracking technologies available, temporal-geospatial data is being collected at an unprecedented rate. However, the effective visualization and interpretation of this data remains elusive. Visualizations have focused on showing an object's location, however more complex inter-entity queries also need to be supported, e.g. \"did X and Y meet, and if so, where and when?\". We present Cooperative Visual Analysis, a combination of two novel visualizations, the Parallel Schedule View and the Braille Plot, working in synergy with a traditional 2D map. The Parallel Schedule View focuses on showing colocation (simultaneous or time separated), with the Braille Plot used to resolve position ambiguity and identify patterns and trends within a data trace (in addition to colocation). We present descriptions of each, and a user study showing support for these approaches. The study compared Cooperative Visual Analysis with a current approach, the Space Time Cube, and found the Cooperative Visual Analysis is an effective means for visualizing temporal-geospatial relationships in a data set, performing at or above the Space Time Cube, whilst being preferred by users.","PeriodicalId":201664,"journal":{"name":"2016 Big Data Visual Analytics (BDVA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126090547","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

Collaborative Framework Design for Immersive Analytics 沉浸式分析的协作框架设计

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787044

Thi Thuong Huyen Nguyen, Peter Marendy, U. Engelke

引用次数: 17

Analyzing Histone Modifications in iPS Cells Using Tiled Binned 3D Scatter Plots 使用平铺分层3D散点图分析iPS细胞中的组蛋白修饰

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787042

Dirk Zeckzer, Daniel Gerighausen, Lydia Müller

{"title":"Analyzing Histone Modifications in iPS Cells Using Tiled Binned 3D Scatter Plots","authors":"Dirk Zeckzer, Daniel Gerighausen, Lydia Müller","doi":"10.1109/BDVA.2016.7787042","DOIUrl":"https://doi.org/10.1109/BDVA.2016.7787042","url":null,"abstract":"Epigenetics data is very important for understanding the differentiation of cells into different cell types. Moreover, the amount of epigenetic data available was and still is considerably increasing. To cope with this big amount of data, statistical or visual analysis is used. Usually, biologists analyze epigenetic data using statistical methods like correlations on a high level. However, this does not allow to analyze the fate of histone modifications in detail during cell specification or to compare histone modifications in different cell lines. Tiled binned scatter plot matrices proved to be very useful for this type of analysis showing binary relationships. We adapted the idea of tiling and binning scatter plots from 2D to 3D, such that ternary relationships can be depicted. Comparing tiled binned 3D scatter plots--the new method--to tiled binned 2D scatter plot matrices showed, that many relations that are difficult or impossible to find using tiled binned 2D scatter plot matrices can easily be observed using the new approach. We found that using our approach, changes in the distribution of the marks over time (different cell types) or differences between different replicates of the same cell sample are easy to detect. Tiled binned 3D scatter plots proved superior compared to the previously used method due to the reduced amount of overplotting leading to less interaction necessary for gaining similar insights.","PeriodicalId":201664,"journal":{"name":"2016 Big Data Visual Analytics (BDVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126995623","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: 5

An Evaluation of Interaction Methods for Controlling RSVP Displays in Visual Search Tasks 视觉搜索任务中控制RSVP显示的交互方法评价

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787041

Jamie Waese, W. Stuerzlinger, N. Provart

{"title":"An Evaluation of Interaction Methods for Controlling RSVP Displays in Visual Search Tasks","authors":"Jamie Waese, W. Stuerzlinger, N. Provart","doi":"10.1109/BDVA.2016.7787041","DOIUrl":"https://doi.org/10.1109/BDVA.2016.7787041","url":null,"abstract":"Accurately identifying images with subtly varying features from a large set of similar images can be a challenging task. To succeed, viewers must perceive subtle differences between multiple nearly identical images and react appropriately. The Rapid Serial Visual Presentation (RSVP) display technique has the potential to improve performance as it exploits our ability to preattentively recognize differences between images when they are flashed on a screen in a rapid and serial manner. We compared the speed and accuracy of three RSVP interface methods (\"Hover\", \"Slide Show\" and \"Velocity\") against a traditional \"Point & Click\" non-RSVP interface to test whether an RSVP display improves performance in visual search tasks. In a follow-up study we compared \"Hover\" and \"Velocity\" RSVP interface methods against a \"Small Multiples\" non-RSVP interface to explore the interaction of interface type and target size on visual search tasks. We found the \"Hover\" RSVP interface to significantly reduce the time it takes to perform visual search tasks with no reduction in accuracy, regardless of the size of the search targets. Beyond the gene identification task tested here, these experiments inform the design of user interfaces for many other visual search tasks.","PeriodicalId":201664,"journal":{"name":"2016 Big Data Visual Analytics (BDVA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131125884","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: 3

Developing a Visual Analytics Tool for Large-Scale Proteomics Time-Series Data 开发用于大规模蛋白质组学时间序列数据的可视化分析工具

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787048

Jenny Vuong, C. Stolte, Sandeep Kaur, S. O’Donoghue

引用次数: 0

Communicating Statistical Uncertainty to Non-Expert Audiences: Interactive Disease Mapping 向非专家受众传达统计不确定性:互动疾病制图

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787045

Jessie Roberts, Phillip Gough

引用次数: 2

Blended UI Controls for Situated Analytics 混合UI控件定位分析

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI: 10.1109/BDVA.2016.7787043

Neven A. M. ElSayed, Ross T. Smith, K. Marriott, B. Thomas

引用次数: 8