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VINCI Tables of Contents: 091011121314

Proceedings of the 2013 International Symposium on Visual Information Communication and Interaction

Fullname:Proceedings of the 6th International Symposium on Visual Information Communication and Interaction
Editors:Jiawan Zhang; Gennaro Costagliola; Robert P. Biuk-Aghai
Location:Tianjin, China
Dates:2013-Aug-17 to 2013-Aug-18
Standard No:ISBN: 978-1-4503-1988-1; ACM DL: Table of Contents; hcibib: VINCI13
Links:Conference Website
  1. Full papers
  2. Posters
  3. Demo
  4. Keynote speeches (abstracts)

Full papers

Constructing collaborative services through augmented documents and objects BIBAFull-Text 1-10
  Paolo Bottoni; Kamen Kanev; Nikolay Mirenkov
We propose a framework for the construction of collaborative services, based on a technique for coding content generated both by authoritative organisations and by users on interactive supports. In particular, we show how users can interact in an enriched and focused way with paper documents and object labels, both in desktop and mobile settings. We argue that combining immediate access to online information from physical support with creation and retrieval of annotations, while keeping in focus the context of their creation, would create a collaboration space by extending the ways of interacting with documents and objects and the way in which these allow seamless access to both centralised and distributed information.
Multilevel interaction model for hierarchical tasks in information visualization BIBAFull-Text 11-16
  Lei Ren; Jin Cui; Yi Du; Guozhong Dai
Infovis (Information visualization) task taxonomy plays an essential role in guiding Infovis design and implementation. Infovis users with various roles in Infovis usually have different requirements for Infovis task modeling. Actually, Infovis research need a consistent taxonomy covering the tasks at different levels, or an interaction model that can facilitate Infovis system development with formal descriptions. But in fact, finding such a unified model is challenging. In this paper we propose a multilevel interaction model (MIM) for hierarchical tasks in Infovis systems. In MIM we define goal model, behavior model, and operation model that can model multilevel tasks in Infovis. In addition, we establish mapping models among MIM components, which can support Infovis systems design, development, application, and evaluation. Finally, we present a domain-specific Infovis application modeled by MIM. Application examples shows that MIM can effectively model multilevel tasks in Infovis and has potential to provide a framework enabling rapid prototyping of Infovis systems.
Visually modelling data intensive web applications to assist end-user development BIBAFull-Text 17-26
  Vincenzo Deufemia; Chris D'Souza; Athula Ginige
Due to problems in correctly understanding user requirements the Information System (IS) development community have recognised the need to involve end-users in the development and maintenance of web applications. End-users perceive web applications through user interfaces (UIs) and commonly use sketches of UIs to express their requirements. Thus, it would be desirable to provide an end-user development methodology centred on UI modelling techniques. In this paper a visual modelling approach is presented to empower end-users in developing data intensive web applications starting from user interface descriptions. The modelling language follows a holistic approach by representing both static and behavioural information of a web application in one visual model. The visual model allows the specification of the look-and-feel of the application through mock-ups, and the user interactions through links, annotations, and widget references. End-users are guided during the modelling process by providing a summary view to manage the design of complex applications and a data model view to improve the quality of the generated applications.
A microstructure evolution visualization method based on neutrosophic set theory and cellular automaton technique BIBAFull-Text 27-33
  Haifeng Li; Dayi Yang; Yangyang Fu; Hujie Huang; Hongyuan Fang
The visualization of complex physical processes is becoming a challenging topic in fields of information visualization, and attracting more and more researchers. Microstructure evolution visualization (MEV) has become an important and unsubstitutable method in the modern material processing engineering domains. A novel MEV approach combining the neutrosophic set theory (NS) and the cellular automaton technique (CA) is developed in order to precisely simulate the invisible, complex and unrepeatable physical process of metal solidification. The NS theory is applied to realize the complex evolution rules among three phases including solid phase, liquid phase and interface phase, while the CA method is used to simulate the dynamic process of dendrite growth. Experiment results of the dendrite growing simulation show strange consistency of the virtual invisible microstructure with that in practical industrial trials and production. Material experts also convince the statistical characteristics of the simulation results and further the inspirational value for the visualization of other complex physical processes.
Intent-driven model synthesis BIBAFull-Text 34-43
  Mofei Song; Feiqian Zhang; Zhengxing Sun; Yan Zhang
This paper presents an intent-driven model synthesis method. The method introduces an interactive straight prismatic construction space to realize the structure and shape variation of the example model simultaneously. The construction space defines the global size and the local shape feature of the desired model. Users can draw a closed curve and some skeleton lines by a sketch-based interface to design the construction space. Our algorithm first uses a quadrangulation algorithm to create a subdivision plane with the same contour as the closed curve. And the drawn skeleton lines control the local orientation of split units in the plane. Then it creates the construction space by sweeping the subdivision plane. Finally, it fills the construction space with the deformed model pieces while maintaining the generalized adjacent constraints, which are defined according to the example model. We demonstrate the effectiveness of the approach on large-scale complex models such as architecture, mountains.
Visual analysis of retweeting propagation network in a microblogging platform BIBAFull-Text 44-53
  Quan Li; Huamin Qu; Li Chen; Robert Wang; Junhai Yong; Detan Si
As a novel type of real-time social networking service, microblogging has already become ubiquitous and an irreplaceable tool. Tracking in the pulse of retweeting propagation is important and meaningful. In this paper, we investigate how information propagation in a specific microblogging platform evolves to identify relevant patterns and understand dynamic attributes of information propagation and the underlying sociological motivations. More specifically, based on the node-link diagram, we propose three efficient strategies to map the multiple attributes of information propagation graph to appropriate visual elements. For revealing the dynamic attributes, we propose two models: the depth-varying and the time-varying parallel data model to illustrate the temporal evolution efficiently. We also present a novel method by combining the traditional scatter plot with Hough transformation to represent the distribution of propagation instances and trace the propagation speeds. We integrate our methods to a visual mining tool and develop several interactive features. We demonstrate how our approaches improve the understanding of the propagation graph from a visual perspective by employing propagation datasets collected from Sina Weibo, the largest microblogging service provider in mainland China. Meanwhile, this visual mining tool has been evaluated by data analysts and successfully used in Sina Corporation as a helpful assistant to them.
ERELT: a faster alternative to the list-based interfaces for tree exploration and searching in mobile devices BIBAFull-Text 54-63
  Abhishek P. Chhetri; Kang Zhang; Eakta Jain
This paper presents ERELT (Enhanced Radial Edgeless Tree), a tree visualization approach on modern mobile devices. ERELT is designed to offer a clear visualization of any tree structure with intuitive interaction. We are interested in both the observation and navigation of such structures. Such visualization can assist users in interacting with a hierarchical structure such as a media collection, file system, etc.
   In the ERELT visualization, a subset of the tree is displayed at a time. The displayed tree size depends on the maximum number of tree elements that can be put on the screen while maintaining clarity. Users can quickly navigate to the hidden parts of the tree through touch-based gestures. We conducted a user study to evaluate this visualization for a music collection. Test results show that this approach reduces the time and effort in navigating tree structures for exploration and search tasks.
Time-space varying visual analysis of micro-blog sentiment BIBAFull-Text 64-71
  Chenghai Zhang; Yuhua Liu; Changbo Wang
Micro-blog sentiment analysis attracts much attention by companies, governments and other organizations. It could help companies to estimate the extent of product acceptance and to determine marketing strategies, governments to monitor online public perception and to improve government-public relation, etc. Researchers mainly focused on time-varying analysis or space varying analysis.
   This paper combines time-varying analysis and space varying analysis and proposes an Electron Cloud Model (ECM) based on the Schrodinger equation and Niels Bohr atomic theory to conduct time-varying visual analysis of micro-blog sentiments. In the ECM, an attempt to map a score of sentiment to the electron stability is made. Kernel density estimation and edge bundling are used to conduct space-varying visual analysis of sentiments. The former visualizes sentiment changes in different levels of detail naturally while the latter can reduce visual clutter of edge crossing and reveal high-level edge pattern.
Culture influence on aesthetic perception of Chinese and western paintings: evidence from eye movement patterns BIBAFull-Text 72-78
  Zaijia Liu; Xianjun Sam Zheng; Mingyang Wu; Rui Dong; Kaiping Peng
Previous research showed that different cultures play a significant role in influencing people's perception and cognition: Eastern people attend more to the background and context, whereas western people focus more on objects. However, the culture influence on people's aesthetic perception and experience has not been systematically explored. In the first part of our study, we measured the eye movements of Chinese and western participants while they viewed Chinese traditional Ink-wash paintings, and we found that the Chinese participants had longer fixation time in the white space areas than did the western participants. In the second part of the study, we measured their eye movements while they viewed different paintings composed by the linear perspective or scattered perspective techniques, and the results suggest that the western participants are more sensitive to the perspective difference between paintings. The findings contribute to the understanding of culture influence on people's aesthetic perception of visual art and visual communication.
Visualizing large trees with divide & conquer partition BIBAFull-Text 79-87
  Jie Liang; Simeon Simoff; Quang Vinh Nguyen; Mao Lin Huang
While prior works on enclosure approach, guarantees the space utilization of a single geometrical area, mostly rectangle, this paper proposes a flexible enclosure tree layout method for partitioning various polygonal shapes that break through the limitation of rectangular constraint. Similar to Treemap techniques, it uses enclosure to divide display space into smaller areas for its sub-hierarchies. The algorithm can partition a polygonal shape or even an arbitrary shape into smaller polygons, rotated rectangles or vertical-horizontal rectangles. The proposed method and implementation algorithms provide an effective interactive visualization tool for partitioning large hierarchical structures within a confined display area with different shapes for real-time applications. We demonstrated the effective of the new method with a case study, an automated evaluation and a usability study.
3DRC: a novel technique in evaluating stakeholders project views BIBAFull-Text 88-96
  Rossella Aiello; Giancarlo Nota; Gennaro Costagliola; Fabrizio Torre
In recent years there has been a growth in size and complexity of the projects managed by public or private organizations. This leads to increased probability of project failures, frequently due to the difficulty and the ability to achieve the objectives such as on-time delivery, cost containment, expected quality achievement. In particular, one of the most common causes of project failure is the very high degree of uncertainty that affects the expected performance of the project, especially when different stakeholders with divergent aims and goals are involved in the project.
   In this paper we present a new visualization technique, called 3DRC, that addresses the prevention and proactive handling of the potential controversies among project stakeholders. The approach is based on the 3D radar charts, to allow easier and more immediate analysis and management of the project views giving a contribution in reducing the project uncertainty and, consequently, the risk of project failure.
A novel map-based visualization method based on liquid modelling BIBAFull-Text 97-104
  Robert P. Biuk-Aghai; Wai Hou Ao
Many applications produce large amounts of data, and information visualization has been successfully applied to help make sense of this data. Recently geographic maps have been used as a metaphor for visualization, given that most people are familiar with reading maps, and several visualization methods based on this metaphor have been developed. In this paper we present a new visualization method that aims to improve on existing map-like visualizations. It is based on the metaphor of liquids poured onto a surface that expand outwards until they touch each other, forming larger areas. We present the design of our visualization method and an evaluation we have carried out to compare it with an existing visualization. Our new visualization has better usability, leading to higher accuracy and greater speed of task performance.


Euler diagram codes: interpretation and generation BIBAFull-Text 105-106
  Paolo Bottoni; Gennaro Costagliola; Mattia De Rosa; Andrew Fish; Vittorio Fuccella
Euler diagrams (EDs) are a popular means of visualizing set-based relationships. We describe the advancement of EulerSketch, based on a novel encoding of EDs. In particular, EulerSketch allows a user to sketch and interact with EDs and automatically produce a code representation for them. It also enables code storage and retrieval and permits to automatically re-draw an ED from its code representation. Some features are inspired by earlier works [4, 6, 3].
Best view selection of 3D models based on unsupervised feature learning and discrimination ability BIBAFull-Text 107-108
  Chenxi Li; Zhengxing Sun; Mofei Song; Yejia Zhang
In this poster, an approach for best view selection of 3D models is proposed, which is based on the framework that formulates the selection as a problem of evaluating views' discrimination ability. Firstly, different views' features are extracted by unsupervised feature learning. Then classifiers are trained to evaluate each view's discrimination ability. A view with the best classifier has the best discrimination ability, and it is chosen as the best view of the 3D model. At last, experiments show that 3D models of same class have similar best views.
Visual and interactive analysis of a large collection of open data with the relative neighborhood graph BIBAFull-Text 109-110
  T. Liu; F. Bouali; G. Venturini
We deal in this paper with the problem of creating an interactive and visual map for a large collection of Open datasets. We first describe how to define a representation space for such data. We use text mining techniques to create features. Then, with a similarity measure between Open datasets, we use the Relative Neighbors method for building a proximity graph between datasets. We use a force-directed layout method to visualize the graph (Tulip Software). We present the results with a collection of 300,000 datasets from the French Open data web site, in which the display of the graph is limited to 150,000 datasets. We study the discovered clusters and we show how they can be used to browse this large collection.
Exploring mapping-based visualisations of large remote image databases BIBAFull-Text 111-112
  William Plant; Gerald Schaefer
Image database visualisations, in particular mapping-based visualisations, provide an interesting approach to accessing image repositories as they are able to overcome some of the drawbacks associated with retrieval based approaches. However, making a mapping-based approach work efficiently on large remote image databases, has yet to be explored. In this paper, we present Web-Based Images Browser (WBIB), a novel system that efficiently employs image pyramids to reduce bandwidth requirements so that users can interactively explore large remote image databases.
A method of hierarchical time-series data visualization BIBAFull-Text 113-114
  Ning Li; Zhifang Jiang; Zixiang Liu; Xiangxu Meng
In this paper, we propose a new method of visualizing hierarchy and time-series data. We use the node-linked technology to show hierarchy structures, rectangles from the left to right to represent the time-series data and a pie chart to represent statistical information about the time-series data. The method is designed to display and compare the corresponding data of each layer, and then observe the differences between the nodes at each layer and the trends of the thing. We applied this method in the urban air quality data visualization and achieved good results.
Air pollution data visualization based on the shape of a tree BIBAFull-Text 115-116
  Xiaoting Bi; Zhifang Jiang; Shenghui Cheng; Xiangxu Meng
Nowadays, environment pollution is one of the most serious problems facing mankind, and more and more people are concerned about it. To solve it, we should get to know it first. In this paper, we present the method of tree-shaped multivariate visualization for hierarchical data, to reveal changes in the data and make comparisons among different pollutants and the time. The technique is based on a botanical tree metaphor. The resulting tree-like visualization can display many properties of the data and we can learn some useful information through the interactions. We also use traditional parallel coordinates as an auxiliary method and a complement to analyze the result.


Demonstrating data using storyboard visualization tool BIBAFull-Text 117
  Gerry Derksen; Stan Ruecker; Tim Causer; Melissa Terras
With the growing importance of big data, and perhaps more significantly, the application of big data to the quantified self, it is more useful than ever for designers to be conversant with the wide range of measurements that can be obtained from various forms of instrumentation. When chairs can record and communicate details about sitting, sidewalks make suggestions about walking, and shavers monitor diet, interesting opportunities will arise for designers to generate new affordances based on the data. However, for many designers, the process of understanding the numbers available in the spreadsheets and databases may prove prohibitive, unless new methods are developed for showing relevance while not losing track of the underlying information. In this presentation, I propose a new genre of "data stories," where the goal is to create narratives that are anchored in big data, but provide a form of shared experience that can be used to both shape design ideas and communicate their potential significance.
   More generally, Data Stories might take the form of shared narratives, concept maps, conversational models, or corporate missions that have the best chance to be adopted by listeners of stories if they have data anchoring points of fact. Data Stories are important because they can help to provide context for information and thereby create a shared framework for understanding. They can also help to make information compelling and memorable. In addition, they provide a starting point for others to contribute, modify, and personalize. From the designer's perspective, they are a way to establish authority, show practical approaches that are anchored in the data, and clarify details in memorable descriptions.

Keynote speeches (abstracts)

Interaction and evaluation techniques for information visualization: future directions BIBAFull-Text 118
  Andreas Kerren
Intuitive and efficient interaction techniques are a fundamental component of most visualization tools. The integration of interaction techniques into visual representations (and automatic analysis methods in visual analytics) supports the human-information discourse and can be realized in various ways. But we also have to take care that our interaction and visual representation techniques are validated in order to get a clear understanding of their efficiency and usability. In this talk, I will explore current and identify future trends in the development of novel interaction and evaluation techniques for information visualization and related fields. Here, I especially want to highlight recent findings in the use of brain-computer interfaces to adapt and evaluate visualizations.
Interdisciplinary studies on information art & design BIBAFull-Text 119
  Ying-Qing Xu
We introduce our interdisciplinary studies on information art & design, including 1) the interdisciplinary master program of information design at Tsinghua University that is a new platform to integrate art, new media and technology, to educate students through both theoretical and practical training on cutting-edge and social impact research projects; 2) e-Heritage, which is to apply the latest information technologies to aid the preservation, interpretation, and dissemination of cultural and natural heritages, in which we are working together with museums and cultural heritage sites to develop immersive multimedia exhibition systems, to recover old paintings, and to animate some art contents; 3) new media design and its applications of digital museum and gallery; 4) discussion on the future of information art & design.
"Big picture": mixed-initiative visual analytics of big data BIBAFull-Text 120
  Michelle X. Zhou
Information graphics have been used for thousands of years to help illustrate ideas and communicate information. However, it requires skills and time to hand craft high-quality, customized information graphics for specific situations (e.g., data characteristics and user tasks). The problem becomes more acute when we must deal with big data. To address this problem, we are researching and developing mixed-initiative visual analytic systems that leverage both the intelligence of humans and machines to aid users in deriving insights from massive data. On the one hand, such a system automatically guides users to perform their data analytic tasks by recommending suitable visualization and discovery paths in context. On the other hand, users interactively explore, verify, and improve visual analytic results, which in turn helps the system to learn from users' behavior and improve its quality over time. In this talk, I will present key technologies that we have developed in building mixed-initiative visual analytic systems, including feature-based visualization recommendation and optimization-based approaches to dynamic data transformation for more effective visualization. I will also use concrete applications to demonstrate the use and value of mixed-initiative visual analytic systems, and discuss existing challenges and future directions in this area.
Visualisation of large image collections BIBAFull-Text 121
  Gerald Schaefer
Visual information, in particular in form of images, is becoming increasingly important, and consequently efficient and effective tools for managing these rapidly growing collections are highly sought after. Interactive image database browsing systems provide an interesting alternative to retrieval-based approaches as they let the user explore an image dataset in an intuitive fashion. Based on content-based concepts, large image collections are visualised so that visually similar images are located close in the visualisation space. Once an image collection is displayed, the user is then given the opportunity to interactively explore it through various browsing operations. In my talk, I will highlight the three main approaches to visualising image databases, namely mapping-based, clustering-based and graph-based visualisations and will then present some of the systems that we have developed in our lab for this purpose, such as the Hue Sphere Image Browser, the Honeycomb Image Browser and their recent ports to large multi-touch screen environments and mobile devices.