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VINCI Tables of Contents: 091011121314

Proceedings of the 2011 International Symposium on Visual Information Communication and Interaction

Fullname:Proceedings of the 2011 Visual Information Communication -- International Symposium
Editors:Guozhong Dai; Huamin Qu; Masahito Hirakawa; Xiaolong (Luke) Zhang
Location:Hong Kong, China
Dates:2011-Aug-04 to 2011-Aug-05
Standard No:ISBN: 978-1-4503-0786-4; ACM DL: Table of Contents; hcibib: VINCI11
Links:Conference Website
  1. Visual Analysis I
  2. Applications
  3. Software Visualization and Visualization of Multi-dimensional Data
  4. Visual Analysis II
  5. Poster Session
  6. Keynotes

Visual Analysis I

Designing visual analytics systems for organizational environments BIBAFull-Text 1
  Xiaoyu Wang; Eric Bier; Thomas Butkiewicz; William Ribarsky; Wenwen Dou
We present research focused on designing visual analytics (VA) systems for workers in organizational environments. We focus on business analysts and asset managers, who work collaboratively to analyze information and make decisions. Through extensive investigations in two organizational environments, we found that these users struggle with managing and analyzing information from multiple perspectives. Their current tools lack support for aggregating, organizing, and sharing such information. To address their needs, we characterized their analytic workflows, extracted specific key knowledge actions for each task commonly found in these workflows, and designed and evaluated two visual analytics systems that support and encapsulate these knowledge actions. We provide design guidelines that should be used when designing visual analytics systems, and illustrate their effectiveness with two systems built by following them.
Visualization of large category hierarchies BIBAFull-Text 2
  Robert P. Biuk-Aghai; Cheong-Iao Pang; Felix Hon Hou Cheang
Large data repositories such as electronic journal databases, document corpora and wikis often organise their content into categories. Librarians, researchers, and interested users who wish to know the content distribution among different categories face the challenge of analysing large amounts of data. Information visualization can assist the user by shifting the analysis task to the human visual sub-system. In this paper we describe three visualization methods we have implemented, which help users understand category hierarchies and content distribution within large document repositories, and present an evaluation of these visualizations, pointing out each of their relative strengths for communicating information about the underlying category structure.
A visual analysis tool that smoothly switches between tabular forms and parallel coordinates BIBAFull-Text 3
  Kazuo Misue; Takashi Yuki
An intermediate representation between tabular forms and parallel coordinates is proposed. The new representation makes it possible to switch back and forth between tables and parallel coordinates in smooth transformations. The authors have developed a tool that can manipulate these representations for the analysis of multidimensional data. Through experimental evaluation, the advantages of this tool are illustrated. It is expected that both the representation and the tool offer a significant improvement to the early stage of data analysis.
A hyperbolic tree based interface for exploring massive files BIBAFull-Text 4
  Zhirong Zeng; Kun Wang; Dongxing Teng; Hongan Wang; Guozhong Dai
Along with the rapid development of information technology, individual users of computers are faced with many problems in dealing with massive files, such as enormous amount, serious redundancy and complex version evolution relation. These lead that the file system becomes more and more rough-and-tumble, to a certain extent putting users to trouble in daily work. This paper systematically analyzed the problems in file system management, put forward user cognitive model when faced with massive files, and then introduced the FDTVAS system which is a visual interface based on hyperbolic tree view for exploring the massive files. This system used specific algorithm to do the intelligent analysis of file relationship, took hyperbolic tree as the main visual form, and provided a series of interaction tasks according with users' cognitive model. The built system can help users get a clear insight of the file system and do the analysis and management efficiently.


MusiCube: a visual music recommendation system featuring interactive evolutionary computing BIBAFull-Text 5
  Yuri Saito; Takayuki Itoh
We often want to select tunes based on our purposes or situations. For example, we may want background music for particular spaces. We think interactive evolutionary computing is a good solution to adequately recommend tunes based on users' preferences. This paper presents MusiCube, a visual interface for music selection. It applies interactive genetic algorithm in a multidimensional musical feature space. MusiCube displays a set of tunes as colored icons in a 2D cubic space, and provides a user interface to intuitively select suggested tunes. This paper presents a user experience that MusiCube adequately represented clouds of icons corresponding to sets of users' preferable tunes in the 2D cubic space.
Support of self-management for chronic kidney failure patients BIBAFull-Text 6
  Yasuhiko Sota; Keisuke Yamamoto; Masahito Hirakawa; Souichiro Doi; Yasuhisa Yamamoto
Nowadays, many people are suffering from the disease that their kidneys no longer function adequately. Knowing their own physical conditions accurately and then recognizing the necessity of self-management are the key to the exploration of a better quality of life (QOL) for such patients.
   In this paper, we present a trial of developing a visual interface system for dialysis patients with the aid of information and communication technologies. A patient can access his/her own record of blood test results through a mobile phone, where its visualization is designed and simplified especially for use by kidney patients. However, not all patients take positive actions toward the management of their own health condition. One of the reasons why this is so would be that the relationship between cause and effect in one's life habits is not visible. The system also provides a facility for promoting self-management by the patients. The results of a preliminary experiment carried out in a hospital are discussed.
Geo-tagged mobile photo sharing in collaborative emergency management BIBAFull-Text 7
  Anna Wu; Xin Yan; Xiaolong (Luke) Zhang
Establishing and maintaining communication between decision makers, professional responders and general public is vital in many emergency planning and rescue situations. In this paper we present our research on using first-hand information collected by mobile users to increase the flexibility and richness in collaborative emergency management. We propose our design to support direct positioning, quick assessment, and rich communication by leveraging mobile uploaded geo-tagged photos as shared media.
Empirical studies of pen tilting performance in pen-based user interfaces BIBAFull-Text 8
  Feng Tian; Xiang Cao; Fei Lu; Guozhong Dai; Xiaolong Zhang; Hongan Wang
Recently, pen tilting has been explored in pen-based user interfaces and has shown potential to improve user interaction in various tasks (e.g., menu selection, modeless object manipulation). However, some basic questions concerning pen tilting behaviors, such as the ideal range, azimuth size, and direction of pen tilting, have not been thoroughly investigated. In this paper, we report our empirical studies on user performances in basic pen tilting tasks. First, we conducted a baseline study, which helps us to determine tilting directions, tilting ranges, and the thresholds that separate incidental pen tilting actions from intentional actions used for interaction. Based on the results from the baseline study, we designed an experiment to investigate user performances in goal tilting in different tilting ranges, azimuth sizes, and directions. Drawing on the results of our data analyses on task completion time, error rate, and pen tip movements, we discussed values of tilting parameters like titling range, minimal azimuth size, and tilting direction.

Software Visualization and Visualization of Multi-dimensional Data

Controlled dataflow visual programming languages BIBAFull-Text 9
  Philip T. Cox; Simon Gauvin
In an important subclass of visual dataflow languages that includes many developed for industrial use, programs consist of acyclic diagrams embedded in control structures of some form. We present here a formalisation of this class of languages, which we call Controlled Dataflow. This work was motivated by a previous study of an exceptions mechanism for visual languages of this type, since to define how the exceptions mechanism could be incorporated into any CDL, we needed a formalism to precisely capture the syntax and semantics of this class, including a protocol for including language-specific control structures. To illustrate the formalism, we provide an example that shows how it captures conditional execution and iteration. We also report on use of this formalism as the basis for an implementation of new CDL language tools.
Visualizing inference process of a rule engine BIBAFull-Text 10
  Jian Shi; Ying Qiao; Hongan Wang
In this paper, we introduce an approach to visualize the inference process in a rule engine -- Drools, which employs Rete as its pattern matching algorithm. As a software visualization work, our approach is focused on both static structure of the Rete network and dynamic behavior of the inference process. Since logic programming is distinct from other traditional programming paradigms, our approach is also different from traditional program/algorithm visualization methods. In this paper, we first introduce the target we choose to visualize, and then provide a description of the problem and our visualization approach. Finally, with an implementation and an interesting case -- sudoku solving, we show that the visualization work is helpful to understanding not only the Rete algorithm, but also the rules used in the inference. Besides, our work supports debugging, tracing and analyzing the rule engine, which is useful in finding errors and optimization.
Coaxial interactive viewer: a multi-dimensional data visualization with spatial distortional views BIBAFull-Text 11
  Jiawan Zhang; Yi Zhang; Lei Fu; Qinghui Guo; Maolin Huang
We present a navigatable multi-dimensional visualization of data named coaxial interactive visualization which is based on the coaxial axes. In this visualization, the dimensions of data in n-dimensional space are mapped to n concentric circular axes drawn in a planar space with polar coordinates. A data item in n-dimensional space is represented as a poly-curve with n vertices across all circular axes. Via the spatial distortion in polar system, the view of multi-dimensional data is interactively adjusted to satisfy viewer's interest. The viewer, thus, can effectively navigate the underlying visual pattern to reach the great detail for uncovering trends and patterns in the visualization. One novelties of this work is performing focus+context viewing in polar coordinate system.
InfoShape: high-level views of multidimensional information BIBAFull-Text 12
  Jie Hao; Kang Zhang
Multidimensional visualization, which creates visual presentations for datasets of multiple variables, helps users to gain an insight of represented information from different perspectives. This paper presents a multidimensional information visualization technique called InfoShape that represents multidimensional information as a 3D sphere whose appearance denotes how much the provided information satisfies a pre-defined set of criteria. By comparing spheres representing different multiple information sets, overall content similarities and differences can be quickly captured at a glance by viewers. The InfoShape concept has been evaluated with a case analysis and an empirical study.

Visual Analysis II

Visual analysis of people's mobility pattern from mobile phone data BIBAFull-Text 13
  Jiansu Pu; Panpan Xu; Huamin Qu; Weiwei Cui; Siyuan Liu; Lionel Ni
The large amount of phone call records from mobile operators in a city can inform us how many people are present in any given area and how many are entering or leaving. Each phone call record usually contains the caller and callee IDs, date and time, and the base station where the phone calls are made. As mobile phones are widely used in our daily life, many human behaviors can be revealed by analyzing mobile phone data. In this paper, we propose a comprehensive visual analysis system which can be used to analyze the population's mobility patterns from millions of phone call records. Our system consists of three major components: 1) visual analysis of user groups in a base station; 2) visual analysis of the mobility patterns on different user groups making phone calls in certain base stations; 3) visual analysis of handoff phone call records. Some well-established visualization techniques such as parallel coordinates and pixel-based representations have been integrated into our system. We also develop a novel visualization schemes, Voronoi-diagram-based visual encoding to reveal the unique features of mobile phone data. We have applied our system to real mobile phone data collected in a large city and obtained some interesting findings regarding people's mobility pattern.
A graph-based fuzzy linguistic metadata schema for describing spatial relationships BIBAFull-Text 14
  Yu Su; Margaret H. Dunham
The spatial relationship description among objects is highly desirable for many research areas such as artificial intelligence and image analysis. In this paper we present a novel fuzzy logic method to automatically generate the description of spatial relationships among objects. A new graph-based fuzzy linguistic metadata schema named Snowflake is proposed to describe the topology and metric relationships for a set of objects. Like an artist painting a picture, Snowflake selects one reference object to present the spatial relationships of all the other objects with respect to this reference object. This paper introduces the operations and isomorphism of Snowflake. The paper also demonstrates that Snowflake preserves the rotation invariance and the scale invariance of spatial relationships. Experiments show that Snowflake is an efficient and effective spatial modeling method.
SFViz: interest-based friends exploration and recommendation in social networks BIBAFull-Text 15
  Liang Gou; Fang You; Jun Guo; Luqi Wu; Xiaolong (Luke) Zhang
Friend recommendation is popular in social network services to help people make new friends and expand their networks. Friend recommendation is either based on topological structures of a social network, or derived from profile information of users. However, dynamically recommending friends by considering both social connections and a context of social connections (e.g., similar interest) in a way of visual exploration is not well supported by existing tools. In this paper, we propose a novel visual system, SFViz (Social Friends Visualization), to support users to explore and find friends interactively under a context of interest. Our approach leverages both semantic structure of activity data and topological structures in social networks. In SFViz, a hierarchical structure of social tags is generated to help users navigate through a network of interest. Multiscale and cross-scale aggregations of similarity among people are presented in the hierarchy to support users to seek potential friends. We report a case study using SFViz to explore the recommended friends based on people's tagging behaviors in a music community, Last.fm. The results indicate that our system can enhance users' awareness of their social networks under different interest contexts, and help users seek potential friends sharing similar interests in an interactive way.
Visual signatures for financial time series BIBAFull-Text 16
  Su Te Lei; Kang Zhang
Information visualization techniques have been applied to many research fields in recent years. This paper introduces the concept of visual signature for financial time series. Unlike other information visualization, visual signatures are designed to more proactively reveal visual patterns of market data. Previous research on visualizing financial time series is discussed and compared. This paper shows how the concept of visual signature helps professional analysts obtain instant and useful visual messages from it.

Poster Session

Evaluation of the User Interface Design on Vegetation Interaction Game for Children BIB P1
  Fusako Kusunoki; Yoshiaki Takeda; Midori Tanaka; Etsuji Yamaguchi; Akiko Deguchi; Shinichi Kamiyama; Shigenori Inagaki; Masanori Sugimoto
ImageHive: Interactive Content-Aware Image Summarization BIB P2
  Li Tan; Yangqiu Song; Shixia Liu; Lexing Xie
Visual Analysis of Taxi Drivers' Mobility Intelligence BIB P3
  Yuan Gao; Lu Lu; Panpan Xu; Huamin Qu
Scalable Parallel Multivaritate Data Volume Visualization BIB P4
  Hanqi Guo; He Xiao; Min Lu; Xiaoru Yuan
Visual Analytics on Multivariate Climate Simulation Data BIB P5
  Hanqi Guo; He Xiao; Xiaoru Yuan
ChronAtlas: A Visualization for Dynamic Topic Exploration BIB P6
  Nan Cao; Yu-Ru Lin; Jimeng Sun; David Gotz; Huamin Qu


Visual Analytics for Enabling Extreme Scale Scientific Discovery BIBA K1
  Han-Wei Shen
The growing power of supercomputers has substantially enhanced our capability to simulate complex problems at greater fidelity, leading to high-impact scientific and engineering breakthroughs. Over the years, visualization has become instrumental for analyzing data generated from numerical simulations in many science disciplines. To fully understand such vast amounts of data, scientists need scalable solutions that can perform detailed data analysis at different levels of detail. In this talk, I will discuss several techniques that address two difficulties faced by computational scientists: The first is deciding what data are the most essential for analysis, given that only a small fraction can be retained; the second is transforming the data into visual representations that rapidly convey the most insight to the viewer. The techniques utilize information theory, fractal analysis, and time series data analysis to facilitate effective data summarization and analysis.
Bridging Computing and Visual Art BIBA K2
  Kang Zhang
In this talk, we will introduce the recently emerging interdisciplinary research topics of computational aesthetics and aesthetic computing, and discuss their difference and complementary roles. As a case study, the theories and practices of abstract painting and their existing and potential applications in computing in general and information visualization in particular will be presented in the context of aesthetic computing. We discuss the three dimensions of painting, i.e. form, color, and texture, various visual cognition principles, and finally aesthetic compositions used in abstract painting. Our objective is to bridge visual art with information visualization, so that the latter could learn from the former in creating more aesthetic visualizations and thus making the viewers visualizing process a pleasant experience. In the context of computational aesthetics, we provide a classification scheme on the complexity of intelligence used in computerized paintings. We will mention our recent effort in producing a particular style of abstract painting. Other research project in information visualization at the UTD Visual Computing Lab will also be briefly mentioned.
Interactive Visual Text Analytics for Decision Making BIBA K3
  Shixia Liu
Businesses use text documents to communicate with their shareholders, share knowledge within the enterprise, coordinate activities among employees, and track business processes. As a result, analyzing text documents has become increasingly an important part of decision making in large corporations and small businesses. For this reason, it is attracting the attention of the visual analytics research community and will continue to do so in the future. Despite its promising start, this research topic is still in its infancy and much remains to be explored and done. This talk presents the challenges of visual text analytics and exemplifies them with several text visualization techniques and examples. It aims at investigating how to best combine and leverage state-of-the-art technologies from multiple fields to help people analyze large collections of text and make decisions.