2016 IEEE Conference on Visual Analytics Science and Technology (VAST)最新文献_第2页

The DataSpace for HIV vaccine studies 艾滋病毒疫苗研究数据空间

2016 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2016-10-01 DOI: 10.1109/VAST.2016.7883509

David McColgin, Paul Hoover, M. Igra

引用次数: 1

DimScanner: A relation-based visual exploration approach towards data dimension inspection DimScanner:一种基于关系的数据维度检测的视觉探索方法

2016 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2016-10-01 DOI: 10.1109/VAST.2016.7883514

Jing Xia, Wei Chen, Yumeng Hou, Wanqi Hu, Xinxin Huang, D. Ebert

引用次数: 26

The semantics of sketch: Flexibility in visual query systems for time series data 草图的语义:时间序列数据可视化查询系统的灵活性

2016 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2016-10-01 DOI: 10.1109/VAST.2016.7883519

M. Correll, Michael Gleicher

引用次数: 34

Supporting visual exploration for multiple users in large display environments 支持大型显示环境中多个用户的视觉探索

2016 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2016-10-01 DOI: 10.1109/VAST.2016.7883506

Sriram Karthik Badam, Fereshteh Amini, N. Elmqvist, Pourang Irani

{"title":"Supporting visual exploration for multiple users in large display environments","authors":"Sriram Karthik Badam, Fereshteh Amini, N. Elmqvist, Pourang Irani","doi":"10.1109/VAST.2016.7883506","DOIUrl":"https://doi.org/10.1109/VAST.2016.7883506","url":null,"abstract":"We present a design space exploration of interaction techniques for supporting multiple collaborators exploring data on a shared large display. Our proposed solution is based on users controlling individual lenses using both explicit gestures as well as proxemics: the spatial relations between people and physical artifacts such as their distance, orientation, and movement. We discuss different design considerations for implicit and explicit interactions through the lens, and evaluate the user experience to find a balance between the implicit and explicit interaction styles. Our findings indicate that users favor implicit interaction through proxemics for navigation and collaboration, but prefer using explicit mid-air gestures to perform actions that are perceived to be direct, such as terminating a lens composition. Based on these results, we propose a hybrid technique utilizing both proxemics and mid-air gestures, along with examples applying this technique to other datasets. Finally, we performed a usability evaluation of the hybrid technique and observed user performance improvements in the presence of both implicit and explicit interaction styles.","PeriodicalId":357817,"journal":{"name":"2016 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131953481","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: 44

PorosityAnalyzer: Visual analysis and evaluation of segmentation pipelines to determine the porosity in fiber-reinforced polymers 孔隙度分析仪:可视分析和评估分割管道，以确定纤维增强聚合物的孔隙度

2016 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2016-10-01 DOI: 10.1109/VAST.2016.7883516

J. Weissenbock, A. Amirkhanov, E. Gröller, J. Kastner, C. Heinzl

{"title":"PorosityAnalyzer: Visual analysis and evaluation of segmentation pipelines to determine the porosity in fiber-reinforced polymers","authors":"J. Weissenbock, A. Amirkhanov, E. Gröller, J. Kastner, C. Heinzl","doi":"10.1109/VAST.2016.7883516","DOIUrl":"https://doi.org/10.1109/VAST.2016.7883516","url":null,"abstract":"In this paper we present PorosityAnalyzer, a novel tool for detailed evaluation and visual analysis of pore segmentation pipelines to determine the porosity in fiber-reinforced polymers (FRPs). The presented tool consists of two modules: the computation module and the analysis module. The computation module enables a convenient setup and execution of distributed off-line-computations on industrial 3D X-ray computed tomography datasets. It allows the user to assemble individual segmentation pipelines in the form of single pipeline steps, and to specify the parameter ranges as well as the sampling of the parameter-space of each pipeline segment. The result of a single segmentation run consists of the input parameters, the calculated 3D binary-segmentation mask, the resulting porosity value, and other derived results (e.g., segmentation pipeline run-time). The analysis module presents the data at different levels of detail by drill-down filtering in order to determine accurate and robust segmentation pipelines. Overview visualizations allow to initially compare and evaluate the segmentation pipelines. With a scatter plot matrix (SPLOM), the segmentation pipelines are examined in more detail based on their input and output parameters. Individual segmentation-pipeline runs are selected in the SPLOM and visually examined and compared in 2D slice views and 3D renderings by using aggregated segmentation masks and statistical contour renderings. PorosityAnalyzer has been thoroughly evaluated with the help of twelve domain experts. Two case studies demonstrate the applicability of our proposed concepts and visualization techniques, and show that our tool helps domain experts to gain new insights and improve their workflow efficiency.","PeriodicalId":357817,"journal":{"name":"2016 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132087101","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: 17