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VINCI Tables of Contents: 091011121314

Proceedings of the 2010 International Symposium on Visual Information Communication and Interaction

Fullname:Proceedings of the 3rd International Symposium on Visual Information Communication
Editors:Guozhong Dai; Kang Zhang; Maolin Huang; Hongan Wang; Xiaoru Yuan; Linmi Tao; Wei Chen
Location:Beijing, China
Dates:2010-Sep-28 to 2010-Sep-29
Publisher:ACM
Standard No:ISBN: 978-1-4503-0436-8; ACM DL: Table of Contents; hcibib: VINCI10
Papers:27
Links:Conference Website
  1. Keynote abstract
  2. Scientific visualization
  3. Parallel coordinates and graph
  4. Visualizing the process
  5. New concept and framework
  6. Document and knowledge visualization
  7. Visual analytics
  8. Poster Session

Keynote abstract

Beyond the interface: a distributed cognition perspective BIBAFull-Text 1
  James D. Hollan
The unbundling of the monolithic computer and its movement off the desktop and into the world are creating new work and living practices. For good and for ill, our professional, personal, and social activities are increasingly dependent on and intertwined with digital computation and communication facilities. Visual interfaces through which we typically interact with such systems date from Ivan Sutherland's seminal Sketchpad system in the 60's and now are commonplace on devices ranging from phones to ultrahigh resolution display walls. Interfaces continue to be a main focus of HCI and information visualization research and applications. In this talk I argue that focusing on the interface is only one of multiple important and necessary levels of design to support information-based activities and unless we attend more seriously to social, cognitive, and embodied levels, we will continue to fall far short of realizing the full potential of computer technology to aid thought, communication, and social interaction.
The promise of zoomable user interfaces BIBAFull-Text 2
  Benjamin B. Bederson
Zoomable User Interfaces (ZUIs), now over 15 years old, are an interface approach for searching and browsing visual information spatially. ZUIs organize information on a large flat surface with animated transitions to show movement through space. They have been the subject of research in the areas of implementation, design approach, efficacy, and application. And now they are commercially available in a number of domains. But at the same time, they are not used as widely as early researchers envisioned.
Browsing a highly connected information space: can natural language processing help? BIBAFull-Text 3
  Cecile Paris
With the continuous growth of information and its high connectivity, it is hard to follow only the relevant links and remain focused. This is true on the web, which has become a major source of information to learn about a topic, and it is also true in a research environment, where the amount of scientific material available electronically is forever increasing, making reading the published literature a difficult task. While reading a document, people often encounter a promising link (or citation), which they decide to follow, only to discover after a quick browse that the document is not relevant to their current needs. Often, people open the linked document into a new tabbed window to which they return later. In such cases, users usually have many tabs opened. When they finally get to the linked documents to read them, they sometimes wonder why they opened these documents in the first place.
2D and 3D conceptual design sketching: interface, modelling and progress BIBAFull-Text 4
  Shengfeng Qin
The creative process is often inspired by natural and cultural worlds and further supported by the immediacy of the presentation, the ease of manipulation, and the possibilities of tracing the development of ideas or revisiting them in order to explore other possible routes. The use of design sketches or drawings to represent design ideas is crucial to the creative process. Sketch-based design technology has the potential to create a seamless transition from conceptual design to a manufactured product. This talk will present an overview on 2D sketch-based interface and modelling pipelines: stroke filtering and processing, 2D tidy-up, visual perception, 3D understanding and modelling. The talk will also review 3D sketch-based interfaces for modelling and interaction: 3D sketching with VR perceptions, 3D sketch with gesture tracking and mixed design environments. The talk will finally discuss the challenges ahead and implications in conceptual design.

Scientific visualization

Difference of inflow and outflow based 3D streamline placement BIBAFull-Text 5
  Shaorong Wang; Yisong Chen; Sheng Li; Guoping Wang
Streamline based method is one of the most important vector field visualization methods. In the past streamline placements algorithms, little physical related feature was considered, which is very important in our opinion. A novel streamline placement algorithm for 3D vector field is introduced in this paper. We measure the difference between the inflow and the outflow to evaluate the local spatial-varying feature at a specified field point. A Difference of Inflow and Outflow Matrix (DIOM) is then calculated to describe the global appearance of the field. We draw streamlines by choosing the local extreme points in DIOM as seeds. DIOM is somewhat like flow divergence and is physics-related thus reflects intrinsic characteristics of the vector field. The strategy performs well in revealing features of the vector field even with relatively few streamlines both in 3D vector field.
The research of the regional pollutant concentration visualization based on the particles BIBAFull-Text 6
  Zhifang Jiang; Miaomiao Li; Xiangxu Meng; Yan Huang; Shenfang Li
In this paper, through the analysis of regional air pollutant concentration data in spatial area, using particle system to model and render the air pollutant concentration in the region at different height levels. We establish the corresponding relationship between pollutant concentration of a grid and the particle radius, and use different scattering models to render the particles, the results show that the rendering of the translucent matter in spatial region has better visual effect when the method is used.
Simulating self-organizing behaviors of fish school BIBAFull-Text 7
  Ye Yuan; Zhongke Wu
The self-organizing behavior of a group emerges from the interaction of many individuals. According to this characteristic, the agent-based simulation method is investigated to implement these autonomous fish to create group motion. Here simulating cluster motion, avoidance, and escape of the fish school, and efficient aggregate algorithms are investigated. Moreover, rendering efficiency is improved by taking the advantage of a 3D engine.

Parallel coordinates and graph

Visualization of BP neural network using parallel coordinates BIBAFull-Text 8
  Jing Zhao
BP neural network is an important part of neural network, and is broadly used in many areas. For BP neural network it's essential to learn a lot of training samples. However, the dataset of the training samples is so large and multi-dimensional that traditional techniques can't convey them effectively in a relative small display area. To address this problem, a parallel coordinates-based BP network visualization technique is proposed. In this approach, the parallel coordinates is constructed according to the model of BP neural network. In particular, clusters, colors, size, density and other features are used to improve the parallel coordinates to create clear intelligible visualization. At last, an experiment is designed to argue that parallel coordinates-based BP network visualization is feasible and effective, and can reveal the relations and rules hidden in the training samples in the process of the training.
Column-based cluster and bar axis density in parallel coordinates BIBAFull-Text 9
  Lei Tang; Xue-qing Li; Wen-jing Qi; Zhi-fang Jiang
In this paper we organize multi-dimensional datasets with column-based approach instead of the traditional row-based method, each column referring to one dimension and we use bar axis in place of line axis to represent corresponding dimension. Then parallel coordinates with column-based cluster, bar axis density and other techniques is used to convey a large complex multi-dimensional dataset in a relative small screen through the following steps: (a) visualization of column-based clusters with user-defined granularity to simplify the corresponding dimension where we group all the data points into several discrete values; (b) several distinct colors to distinguish the lines contain different amount of data points; (c) opacity is introduced to visualization to tell the difference among the lines with the same color; (d) brand instead of polyline to reveal the centre and the extent of each cluster; (e) layer-based drawing technique to emphasize the heavy lines and to denote the trend of multi-dimensional datasets; (f) bar axis to provide special space to illustrate the density of the dataset on each axis. Anyway, our work has two primary goals: one is to convey large dataset with legible compact vivid visualization on a limited screen area. The other one is to simultaneously reveal as many information features as possible away from clutter.
Exploring the relative importance of crossing number and crossing angle BIBAFull-Text 10
  Weidong Huang; Maolin Huang
Recent research has indicated that human graph reading performance can be affected by the size of crossing angle. Crossing angle is closely related to another aesthetic criterion: number of edge crossings. Although crossing number has been previously identified as the most important aesthetic, its relative impact on performance of human graph reading is unknown, compared to crossing angle. In this paper, we present an exploratory user study investigating the relative importance between crossing number and crossing angle. This study also aims to further examine the effects of crossing number and crossing angle not only on task performance measured as response time and accuracy, but also on cognitive load and visualization efficiency. The experimental results reinforce the previous findings of the effects of the two aesthetics on graph comprehension. The study demonstrates that on average these two closely related aesthetics together explain 33% of variance in the four usability measures: time, accuracy, mental effort and visualization efficiency, with about 38% of the explained variance being attributed to the crossing angle.

Visualizing the process

Semantic comparison of structured visual dataflow programs BIBAFull-Text 11
  Philip T. Cox; Anh Dang
The diff utility is an important basic tool, providing a foundation for many of the fundamental practices of software development, such as source code management. While there are many file differencing tools for textual programming languages, including some that look at more than simple textual variations, there are few for visual programming languages. We present an algorithm for semantic comparison of programs in controlled visual dataflow languages; that is, languages in which dataflow diagrams are embedded in control structures. This algorithm performs depth-first search of call structures comparing embedded diagrams using subgraph isomorphism, to determine if two programs are semantically equivalent, and if they are not, discovers the differences. We use the visual language Prograph for illustration; however, the mechanism we propose could be applied to any controlled dataflow language, such as LabVIEW.
A model driven visualization platform for workflow BIBAFull-Text 12
  Jiayao Chen; Xueqing Li; Jingzhao Yang
The use of workflow is a complicated process and non-specialist user need a visualization platform for workflow application. In this paper, a graphical modeling platform for workflow design is proposed. This platform provides complete solutions to workflow application including process definition, process modeling, process deployment, process tracking and process navigation. According to this platform, an effective tool for business process modeling is realized. Firstly, an interactive interface model constructed from node models, transition models, state models, process models and user interface model is proposed. Secondly, a Model-Driven Visualization Platform for Business Process is presented, and also the detailed implementation of the visual architecture is illustrated. Finally, an example of application based on our solution is given. Through the application, it is shown that the platform can provide a complete visualization solution for the use of the workflow.
Process visualization to solve the travelling salesman problem BIBAFull-Text 13
  J. Joshua Thomas; Choy Chee Ken
The Traveling Salesman Problem (TSP) is one of the well studied combinatorial optimization problems. Multiple approximation algorithms are derived for solving the distance measure TSP that determines the shortest route through a given set of points or cities. In this paper, we visualize the process of genetic parameters and explain the solution converges. It deals with interactive animation to understand the progress view of the solutions obtained. A Java-based FX and interactive visualization (TSP-ViZ) is alo developed using Java FX and optimization results are discussed.

New concept and framework

A developing framework for interactive temporal data visualization BIBAFull-Text 14
  Xiongfei Luo; Dongxing Teng; Wei Liu; Feng Tian; Guozhong Dai; Hongan Wang
This article presents UCFM, a user-centered developing framework for interactive temporal data visualization. UCFM is comprised mainly by software architecture and software development methods. The software architecture describes modules in interactive temporal data visualization system and their relationships. And based on the software architecture and development practice, the software development methods summarize these specific steps to design and develop interactive temporal data visualization system. To demonstrate UCFM's validity, the development process of an interactive temporal data visualization application is illustrated.
Cooperative concept map based on cognitive model for visual analysis BIBAFull-Text 15
  Yi Du; Cuixia Ma; Dongxing Teng; Guozhong Dai
The ability to recognize users and their intention during the visual analysis process is important to interact intelligently and effortlessly in a cooperative environment. In this paper, we present the framework for creating and modifying a concept map that allows analysts to collaborate and utilize live collection of enterprise data in a visual interface. Based on modeling users and tasks in visual analysis, a user model supporting collaborative analysis is given. Furthermore, we propose the algorithm of concept map layout to facilitate the visual analysis. The interface presents the analyst with the dashboard configuration of certain data that users deems relevant, provides tools to facilitate the decision making process. Finally, we apply it to a collaborative visual decision support system. Experimental results show that it enhances the accessibility and the individualization of collaborative concept map for configuring enterprise data and helps to enhance user experience during the visual analysis process.
Interactive visualization with user perspective: a new concept BIBAFull-Text 16
  Quang Vinh Nguyen; Simeon Simoff; Mao Lin Huang
With an astonishing amount of data generated for processing on a daily basic, it is essential to provide an effective methodology for understanding, reasoning and supporting decision making of large information spaces. This paper presents a new concept that provides an intelligent and interactive visualization in supporting large scale analysis. This aims to provide a much greater flexibility and control for the users to interactively customize the visualizations according to their preferences. A simple prototype is also presented to demonstrate the concept on hierarchical structures.

Document and knowledge visualization

Harvesting discourse strategies for rapid prototyping of tailored information delivery systems BIBAFull-Text 17
  Shijian Lu; Cécile Paris
In the process of designing tailored information delivery systems based on natural language generation technology, linguistic resources need to be developed. One of such resources is a set of discourse strategies, the abstract structures that specify how to construct a coherent text to achieve a specific communicative goal. Discourse strategies, however, prove to be difficult to develop, in part due to their abstractness. In this paper, we describe a graphical tool which allows users to annotate documents to indicate its various elements and how they relate to each other. The annotations can then be used to generate a first draft of the discourse strategies automatically. The tool is presented in the context of the Myriad delivery platform which aims at facilitating the rapid development of tailored information delivery systems.
TagNetLens: multiscale visualization of knowledge structures in social tags BIBAFull-Text 18
  Liang Gou; Shaoke Zhang; Jing Wang; Xiaolong (Luke) Zhang
Social tags reflect personal and shared vocabulary, and provide opportunities for people to organize and search information. However, tags are usually not structured. To find relevant tags and associated documents, people often need to invest significant amount of cognitive resources to make sense of the relationships among tags. To help the sensemaking of social tags and exploration of knowledge structure of them, we propose an approach of tag networks, TagNet, in which tags are linked by their corresponding documents and a multiscale tag hierarchy are derived with network clustering and aggregation techniques. We also present TagNetLens, an interactive tool that allows users to explore a tag network and its tag hierarchy. We report a case study of TagNet and TagNetLens based on social tags and documents from CiteULike. The results indicate that our TagNet approach can provide users with knowledge structures that are similar to cognitive structures of concepts in people's minds, and TagNetLens can help people to better explore the space of social tags and may have potentials to facilitate the understanding of the knowledge structure in social tags.
Visually searching the web for structural content BIBAFull-Text 19
  Hirofumi Miyamoto; Masahito Hirakawa
Searching the information is one of the daily activities in our living, where the web is the most common information repository. Effective and efficient search on the web is a key challenge. In this paper we propose a system for web search based on the visual structure (layout and colors) of web pages. Considering that interpretation of visual structures depends on individual perceptual characteristics, the creator and the searcher both participate in a session of expressing their own interpretation of layout and colors of a target web page. Web search is carried out by evaluating similarities between those visual page structures. This search scheme will help people to organize richer social networks with consideration of user's sensibility and preference to visual structural features.

Visual analytics

A visual analytics system for financial time-series data BIBAFull-Text 20
  Su Te Lei; Kang Zhang
Analyzing financial time series data is challenging due to the volatility of stock market. We advocate using visual approaches to market data analysis. We present a visual analytics system that enables individual investors to analyze stock market by giving them a holistic view on the market data. This paper discusses the drawbacks of current visual charts and describes the core visual techniques used in our system.
Event-based approach to money laundering data analysis and visualization BIBAFull-Text 21
  Tat-Man Cheong; Yain-Whar Si
Crime specific event patterns are crucial in detecting potential relationships among suspects in criminal networks. However, current link analysis tools commonly used in detection do not utilize such patterns for detecting various types of crimes. These analysis tools usually provide generic functions for all types of crimes and heavily rely on the user's expertise on the domain knowledge of the crime for successful detection. As a result, they are less effective in detecting patterns in certain crimes. In addition, substantial effort is also required for analyzing vast amount of crime data and visualizing the structural views of the entire criminal network. In order to alleviate these problems, an event-based approach to money laundering data analysis and visualization is proposed in this paper. The effectiveness of the proposed method is demonstrated on a money laundering case from Taiwan.
An interactive sensemaking framework for mobile visual analytics BIBAFull-Text 22
  Anna Wu; Xiaolong (Luke) Zhang; Guoray Cai
Increasing mobility for modern life requires people to access information and make decisions "on the go". Mobil applications place special constraints that challenge the existing ways of visual analytic design where relatively stable and interaction-rich contexts are assumed. In tasks like learning unfamiliar places, current visualizations on mobile devices are not capable of helping users to form a good cognitive map of the environment. How can we take advantage of rich physical environmental cues and supplement with computational power to help people make sense of the environment? In this paper, we present a framework of sensemaking to model how people get insight into the environment as they navigate around. Based on this framework, we present design guidelines for mobile visual analytics that could enhance the spatial awareness of the navigator and analyze several existing designs through the discussion.

Poster Session

Personalised Information Services in a Restricted Network Environment BIB P1
  Shijian Lu; Shiping Chen; Cécile Paris
Timebased Visualisation of Vital Signsfor Chronic Disease Management BIB P2
  Rhys Tague; Anthony Maeder; Quang Vinh Nguyen
Column-based Cluster and Bar Axis Density in Parallel Coordinates BIB P3
  Lei Tang
Visualization of BP Neural Network Using Parallel Coordinates BIB P4
  Jing Zhao
A Model Driven Visualization Platform for Workflow BIB P5
  Jiayao Chen; Xueqing Li; Jingzhao Yang