社交化在线课程平台学习者交互行为研究

随着在线学习的快速发展,针对学习者交互行为的相关研究成为学术界重点关注的热门话题.该研究采用案例研究法,以学者网上一门具体课程为例,通过采集线上交互数据和线下学习者真实成绩进行社会网络分析和相关性分析,最后根据分析结果得出结论.研究结果表明,学习者参与在线交互的积极性不高,但总体上参与在线交互的学习者比不参与在线交互的...     

面向分析任务的表格数据可视化交互构建

用户面对多属性数据时的挑战在于选择合适的属性并创建有意义的可视化.为了快速地探索更多属性,并针对不同分析任务生成合理的可视化推荐,提出一个框架.首先定义一组可视化语言规则,描述数据转换、聚合和可视化映射的规则;然后归纳总结数据分析任务及参考可视化分析任务,生成相关可视化推荐.为了帮助用户更加灵活地探索数据,在分析中生成见解,实现了一个交互式可视分析系统,基于可视化语言和分析任务规则,根据用户指定的属性及不同分析任务推荐生成有效的可视化集合.     

面向在线交易日志的用户购买行为可视化分析

在线交易日志,即用户通过电商平台购买商品产生的交易记录,包括用户、商品、交易及商家的相关信息,反映了用户的购买行为.现有的可视化方法未能充分结合在线交易日志的时序、层次、地理、多维等特征,实现对用户购买行为的多角度分析.对此,本文结合交易日志的多个特征,提出了基于径向布局的复合时序可视化方法和融合空间信息的时间轴可视化方法,设计了颜色极值映射方法和规律映射方法,并基于上述方法,设计并实现了面向在线交易日志的用户购买行为可视化分析系统UPB-VIS,从而完成了单个用户和用户群体购买行为的全方位分析.最后,通过在京东商城在线交易日志数据集上的实验证明了系统的易用性和相关可视化方法的有效性.     

基于云端可视化交互的强化学习平台

强化学习是一个与环境交互的学习过程,在实验场景中,训练环境部署的可扩展性和算法验证的便捷性常受限于物理引擎和渲染模块的高耦合性.为对物理引擎和渲染模块进行解耦,构建一种面向物理引擎和渲染模块的云端交互式模型,其中包括操作字典、元素字典和对应的算法接口,并基于该模型实现模拟器.通过集成模拟器、可视化工具和知识管理等组件,...     

行为导向的信息交互设计研究

以用户行为模型为切入点,指出在进行信息架构的时候除了关心信息展示的同时还要关注用户的心理与目标。将用户行为融入交互设计,进而分析行为引导对信息交互设计的价值以及表现形式。利用信息交互体现出行为过程、行为目标对信息交互的映射、用户认知对行为指导的特点,将用户行为过程转化为设计元素应用于交互设计中,从而探索出设计指导原则。     

可视化编程环境下人机界面信息交互控制仿真

针对现有人机界面信息交互控制方法中存在控制结果反馈时间较长、控制精度较低等问题,提出基于模糊PID的可视化编程环境下人机界面信息交互控制方法.利用知识元描述人机界面接收信息中包含的对象与信息源,获取基础信息单元,通过组合信息单元得到信息融合集,完成交互信息的初步处理;以信息融合集作为融合的基础信息对象,采用欧式距离度量...     

国内信息可视化研究进展

论文以CNKI收录的1996-2012年间360篇信息可视化文献为研究对象,用文献计量、社会网络分析法,从文献年代分布、基金资助分布、来源期刊分布、作者及其合作、研究机构及其合作、研究热点及其演化等方面可视化揭示了国内信息可视化研究进展。     

基于轻量级微服务架构的设备运行信息可视化交互系统

为实现设备运行信息可视化交互,掌握设备运行情况,设计基于轻量级微服务架构的设备运行信息可视化交互系统。以微服务基础设施群组为支撑,通过采集设备运行状态信息,将信息传送至数据微服务群组,存储到MySQL数据库,可视化微服务群组下达设备运行信息可视化交互指令,依据调取信息可视化微服务,通过三维平行散点图生成可视化信息结果,并通过终端呈现设备运行信息的可视化结果。测试结果显示,系统可视化交互请求响应平均延迟短,可准确呈现设备运行信息结果,为设备运行管理提供可靠依据。     

面向上下文图形可视化挖掘网络行为与管理

在大规模网络系统中,精确识别谁在做什么具有挑战性。目前的网络管理系统主要采取对用户身份推理,此类方法由于收集的数据粗糙,因此在大规模的网络环境下不能精确地对网络行为进行挖掘、发现和管理。采取对主机、用户、应用程序和数据访问等网络上下文内容进行可视化挖掘,从而为网络管理过程的动态化提供了重要帮助。     

面向上下文图形可视化挖掘企业网络行为

在企业分布式网络系统中,精确、动态地发现用户的网络行为日益具有挑战性。目前网络管理系统主要依赖于对用户身份的推理来进行网络行为管理,此类方法由于所收集到的数据缩放比粗糙,从而在大规模的网络环境下不能精确地对网络行为进行挖掘、发现和管理。对主机、用户、应用程序等网络上下文内容进行可视化挖掘,为动态地进行网络管理提供了重要帮助。     

基于交易网络特征向量中心度量的可疑洗钱识别系统

针对可疑洗钱识别问题,提出了基于交易网络特征向量中心度量的可疑洗钱行为检测系统.检测系统包含交易数据预处理、特征向量中心度量、时序检测分析三个关键子算法.同时还给出了三种用于检测异常交易行为的度量指标.通过对银行交易数据进行的实验仿真,验证了系统的有效性.     

Interactive volumetric information visualization for document corpus management

This paper describes aminimally immersive three-dimensional volumetric interactive information visualization system for management and analysis of document corpora. The system, SFA, uses glyph-based volume rendering, enabling more complex data relationships and information attributes to be visualized than traditional 2D and surface-based visualization systems. Two-handed interaction using three-space magnetic trackers and stereoscopic viewing are combined to produce aminimally immersive interactive system that enhances the user’s three-dimensional perception of the information space. This new system capitalizes on the human visual system’s pre-attentive learning capabilities to quickly analyze the displayed information. SFA is integrated with adocument management and information retrieval engine named Telltale. Together, these systems integrate visualization and document analysis technologies to solve the problem of analyzing large document corpora. We describe the usefulness of this system for the analysis and visualization of document similarity within acorpus of textual documents, and present an example exploring authorship of ancient Biblical texts. Received: 15 December 1997 / Revised: June 1999     

Network visualization for financial crime detection

Objective: We present a new software system, VisFAN, for the visual analysis of financial activity networks.MethodsWe combine enhanced graph drawing techniques to devise novel algorithms and interaction functionalities for the visual exploration of networked data sets, together with tools for SNA and for the automatic generation of reports.ResultsAn application example constructed on real data is presented. We also report the results of a study aimed at qualitatively understanding the satisfaction level of the analysts when using VisFAN.ConclusionVisFAN makes a strong use of visual interactive tools, combined with ad-hoc clustering techniques and customizable layout constraints management.ImplicationsAs this system confirms, information visualization can play a crucial role to face the discovery of financial crimes.     

DaisyVA:支持信息多面体可视分析的智能交互式可视化平台

针对目前缺乏有效地支持信息多面体可视分析的交互式信息可视化平台的问题,提出并实现了一个面向最终用户的交互式可视化平台DaisyVA.首先建立了一个支持信息多面体可视分析界面模型IMFA,并定义了IMFA的多面体数据模型、可视表征模型和交互控制模型;然后围绕IMFA设计了DaisyVA的体系架构,讨论了基于模型的系统开发机制、核心模块与运行时框架机理,以及DaisyVA组件库;最后将DaisyVA应用于大型集团制造企业物流网络瓶颈的可视分析实例中.实例分析结果表明,DaisyVA能为多面体数据提供统一建模的支持和可扩展可视化算法库的支持、提供多种所需的交互技术并可灵活定制可视分析的交互任务、支持信息多面体间的内在语义关联分析,以及能够为最终用户提供一种简单快速原型方法,因此能够为信息多面体可视分析提供一种有效的支持.     

Interactive visualization of three-dimensional magnetic fields

In order to observe the physical values (magnetic flux density and eddy current) in 3D magnetic field analysis, an interactive and highly manipulative visualization system depicting stereo images is intalled in a graphics workstation with high functional graphic processors. The system has the following characteristics:

• 1 An interactive and highly manipulative menu window with many functions: it enables visualization of complex phenomena in a 3D field through observation of various combinations of physical values from various viewpoints.
• 2 Simultaneous display of both magnetic flux density and eddy current by using the appropriate use of two colour display methods for stream lines and distribution maps of density: this function facilitates observation of the mutual relations between two physical values in a 3D field.
• 3 Animations and stereo displays: since they give extremely distinct images, observers can easily understand even highly complex 3D phenomena.

In this paper, the calculation method of density vectors, their display methods, and interactive functions are described. Some examples are also illustrated.     

Interactive unsupervised classification and visualization for browsing an image collection

In this paper, we propose an approach to interactive navigation in image collections. As structured groups are more appealing to users than flat image collections, we propose an image clustering algorithm, with an incremental version that handles time-varying collections. A 3D graph-based visualization technique reflects the classification state. While this classification visualization is itself interactive, we show how user feedback may assist the classification, thus enabling a user to improve it.     

Interactive visualization for opportunistic exploration of large document collections

Finding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought. A user might not yet have enough domain-specific knowledge to form a precise search query to get the desired result on the first try. Another problem arises from the usually highly cross-referenced structure of such document collections. When researching a subject, users usually follow some references to get additional information not covered by a single document. With each document, more opportunities to navigate are added and the structure and relations of the visited documents gets harder to understand.     

Handheld Augmented Reality for underground infrastructure visualization

In this paper, we present an Augmented Reality (AR) system for aiding field workers of utility companies in outdoor tasks such as maintenance, planning or surveying of underground infrastructure. Our work addresses these issues using spatial interaction and visualization techniques for mobile AR applications and as well as for a new mobile device design. We also present results from evaluations of the prototype application for underground infrastructure spanning various user groups. Our application has been driven by feedback from industrial collaborators in the utility sector, and includes a translation tool for automatically importing data from utility company databases of underground assets.

A selective rendering method for data visualization

Selective visualization is a solution for visualizing data of large size and dimensionality. In this paper a new method is proposed for effectively rendering certain chosen parts among the full set of data in terms of a colour buffer, referred to as the virtual plane, for storing intermediate results. By this method, scientists may concentrate their attention on the contents of data in which they are interested. Besides, the method could be easily integrated with all the current direct volume rendering techniques, especially progressive refinement methods and selective methods. Copyright © 1999 John Wiley & Sons, Ltd.     

软件网络通信过程逆向分析及可视化技术研究

针对软件逆向分析中遇到的软件网络通信过程复杂,分析耗时的问题,提出了软件网络通信过程逆向分析及可视化方法.利用动态二进制平台DynamoRIO记录软件网络通信过程中执行的API函数信息,对记录结果进行函数关联性分析,结合图形化工具软件aiSee,将软件网络通信过程以图形化形式展现.实验结果表明,该方法能够在不影响程序的情况下通过程序的一次运行即正确解析并可视化其网络通信过程.