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VINCI Tables of Contents: 091011121314

Proceedings of the 2014 International Symposium on Visual Information Communication and Interaction

Fullname:Proceedings of the 7th International Symposium on Visual Information Communication and Interaction
Editors:Tony Huang; Tomasz Bednarz; Weidong Huang; Quang Vinh Nguyen; Yingcai Wu
Location:Sydney, Australia
Dates:2014-Aug-05 to 2014-Aug-08
Standard No:ISBN: 978-1-4503-2765-7; ACM DL: Table of Contents; hcibib: VINCI14
Links:Conference Website
  1. Visualization Methodologies
  2. Visualization Applications
  3. Visual Design and Art
  4. Short Papers
  5. Posters

Visualization Methodologies

Adaptive Visualization Interface That Manages User's Cognitive Load Based on Interaction Characteristics BIBAFull-Text 1-8
  Anatoly Yelizarov; Dennis Gamayunov
Efficiency of visualization interfaces in terms of their users' decisions speed and accuracy in safety-critical areas is extremely important as late or wrong reaction on displayed information may cause at least financial losses (not to mention the damage to human health and/or environment). Users of such systems can be overloaded with the displayed information and therefore it can take them more time to make a decision. In this paper, a novel visualization interface is presented, that can detect its user's cognitive overload and adapt the amount of information to be displayed and its visualization according to user's current cognitive capabilities. Results provided by the conducted user study have demonstrated that such adaptation technique benefits visualization interface efficiency.
CoVE: A Colony Visualization System for Animal Pedigrees BIBAFull-Text 9-18
  Brady Cannon; Minoti Hiremath; Cheryl Jorcyk; Alark Joshi
CoVE is a novel, scalable, interactive tool that can be used to visualize and manage large colonies of laboratory animals. Effective management of large colonies of animals with multiple individual attributes and complicated breeding schemes represents a significant data management challenge in the biological sciences. Currently available software either provides databases for record keeping or generates basic pedigrees but not both. Thus, there is a pressing need for an integrated colony management system that provides a repository for the data and addresses the visualization challenge presented by complex genealogical data. We present CoVE, a colony visualization tool that provides an overview of the entire colony, clusters individuals based on Gender, Litter or Genotype, and provides an individual view of any animal for detailed examination. We demonstrate that CoVE provides an efficient way to manage, generate and view complex pedigree of real world genealogical data from animal colonies, annotated with details of individual attributes. It enables interactive tracing of lineages and identification of censored subjects in tumor studies.
A Space-Filling Multidimensional Visualization (SFMDVis for Exploratory Data Analysis BIBAFull-Text 19-28
  Tze-Haw Huang; Mao Lin Huang; Quang Vinh Nguyen; Laiping Zhao
We introduce a new Space-Filling Multidimensional Data Visualization (SFMDVis) that can be used to facilitate the viewing, interaction and analysis of the multidimensional data with a fully utilized display space. The existing multidimensional visualizations typically create visual clutter and over-plotting that make it difficult for interaction with data items directly. Our new space filling technique uses horizontal lines to represent multidimensional data items. Each line is logically divided into segments based on color mapping in order to denote the data item with its value. The proposed visualization is space efficient and also avoids the visual clutter and over-plotting problems as we have often observed in other visualizations. In addition, we allow user to interact directly with data on the display which is more intuitive and efficient than other means.
A Flip-Book of Edge-Splatted Small Multiples for Visualizing Dynamic Graphs BIBAFull-Text 29-38
  Michael Burch; Daniel Weiskopf
Dynamic graph visualization techniques can be based on animated or static diagrams showing the evolution over time. In this paper, we apply the concept of small multiples representations to visually illustrate the dynamics of a graph. Node-link diagrams are used as the basic visual metaphor for displaying individual graphs of the sequence. To improve the readability of the diagram and reduce visual clutter we apply an edge splatting technique. Here, we discuss the benefits of splatted radial graph layouts on a modifiable 2D grid. Moreover, to obtain a more scalable dynamic graph visualization we interactively support a graph analyst by a Rapid Serial Visual Presentation (RSVP) feature to rapidly flip between the sequences of displayed graphs. The usefulness of the technique is illustrated in two case studies investigating a dynamic call graph and an evolving social network that consists of more than 1,000 graphs.
Visualizing Bag-of-Features Image Categorization Using Anchored Maps BIBAFull-Text 39-48
  Gao Yi; Hsiang-Yun Wu; Kazuo Misue; Kazuyo Mizuno; Shigeo Takahashi
The bag-of-features models is one of the most popular and promising approaches for extracting the underlying semantics from image databases. However, the associated image categorization based on machine learning techniques may not convince us of its validity since we cannot visually verify how the images have been classified in the high-dimensional image feature space. This paper aims at visually rearrange the images in the projected feature space by taking advantage of a set of representative features called visual words obtained using the bag-of-features model. Our main idea is to associate each image with a specific number of visual words to compose a bipartite graph, and then lay out the overall set of images using anchored map representation in which the ordering of anchor nodes is optimized through a genetic algorithm. For handling relatively large image datasets, we adaptively merge a pair of most similar images one by one to conduct the hierarchical clustering through the similarity measure based on the weighted Jaccard coefficient. Voronoi partitioning has been also incorporated into our approach so that we can visually identify the image categorization based on support vector machine. Experimental results are finally presented to demonstrate that our visualization framework can effectively elucidate the underlying relationships between images and visual words through the anchored map representation.
Parallel Coordinates with Data Labels BIBAFull-Text 49-57
  Hong Zhou; Panpan Xu; Zhong Ming; Huamin Qu
Parallel coordinates have been widely used to analyze high-dimensional data. Numerous methods have been designed to provide overview patterns in parallel coordinate plots. However, detailed information is also important in data analysis. When several lines overlap or are close to one another, distinguishing detailed information of polyline crossings is difficult. In this paper, we present a novel approach to address the problem of polyline crossing ambiguity by using data labels. We place different labels along various polylines to give cues for differentiation of lines. We bend the lines and optimize the arrangement of curved lines to provide space for clear visible labels. An energy system that models attractive and repulsive forces of lines is used to guide the search for optimized line arrangement. The experiments on several real datasets demonstrate the effectiveness of our approach.
Generating Reusable Visual Notations using Model Transformation BIBAFull-Text 58-67
  Iman Avazpour; John C. Grundy; Hai L. Vu
Visual notations are a key aspect of visual languages. They provide a direct mapping between the intended information and set of graphical symbols. Visual notations are most often implemented using the low level syntax of programming languages which is time consuming, error prone, difficult to maintain and hardly human-centric. In this paper we describe an alternative approach to generating visual notations using by-example model transformations. In our new approach, a semantic mapping between model and view is implemented using model transformations. The notations resulting from this approach can be reused by mapping varieties of input data to their model and can be composed into different visualisations. Our approach is implemented in the CONVErT framework and has been applied to many visualisation examples. Two case studies for visualising statistical charts and visualisation of traffic data are presented in this paper. A detailed user study of our approach for reusing notations and generating visualisations has been provided that shows good reusability and general acceptance of the novel approach.
Encapsulating Interaction Techniques of 3D Language Editors in Visual Patterns BIBAFull-Text 68-77
  Jan Wolter; Uwe Kastens
The implementation of three-dimensional visual languages requires a wide range of conceptional and technical knowledge on issues for 3D graphics and textual language processing. Our generator framework DEViL3D incorporates such knowledge and supports the design of visual 3D languages and their implementation from high-level specifications. Such 3D languages arise from different modeling domains that make use of three-dimensional representations, e.g., the "ball-and-stick" models of molecules. The front-end of a 3D language implementation is a dedicated 3D graphical structure editor, which offers interaction and navigation techniques to construct programs in their domain. These techniques allow to manipulate the 3D program directly using operations to insert, move, and restructure objects. We have developed canned solutions for all such techniques that are encapsulated in visual patterns, which are provided by our generator. The designer of a particular 3D language only has to apply visual patterns to constructs of the abstract syntax, which defines the basic structure of the language. We have complemented our development with a usability study. Participants had to solve several tasks with different interaction or navigation techniques. The results partially indicate a significant advantage of one technique over another.
Interactive Sand Art Drawing Using Kinect BIBAFull-Text 78-87
  Kai-Min Chen; Sai-Keung Wong
In this paper, we present an interactive sand art drawing system using Kinect. Our system adopts a vision-based bare hand detection method which effectively detects the hand position and recognizes the hand gestures. Then, the corresponding sand manipulation actions are performed. Our system supports the common sand drawing functions, such as sand erosion, sand spilling, and sand leaking. To use hands to draw virtual sand on a drawing plane, we design four key gestures which enable drawing manipulation actions for sand. The basic idea is that the gesture of one hand controls the drawing action. The motion and gesture of the other hand controls the drawing position. Our preliminary experimental results show that our system enables sand drawing with bare hands using Kinect. A user study indicates our system is useful to sand art drawing.

Visualization Applications

Supporting Access Control within a Mockup-based EUDWeb Environment BIBAFull-Text 88-97
  Loredana Caruccio; Vincenzo Deufemia; Christopher D'Souza; Athula Ginige; Giuseppe Polese
End-user development (EUD) is receiving increasing attention, due to the necessity of frequent extensions and personalizations of applications. In particular, EUDWeb technologies have focused on the support of web development tasks which are generally perceived to be complex by end-user developers. However an area of neglect within current EUDWeb environments is the support for the specification and implementation of access control, although it is perceived as a particularly complex task. Thus, in this paper we propose an EUDWeb approach and tool for the specification and generation of web applications embedding access control mechanisms. We extended a previous mockup-based EUDWeb approach by introducing visual assistance mechanisms enabling the specification of role-based access control policies and their plugging within the application logic.
A Time-based Visualization for Web User Classification in Social Networks BIBAFull-Text 98-105
  Andrew S. Brunker; Quang Vinh Nguyen; Anthony J. Maeder; Rhys Tague; Gregory S. Kolt; Trevor N. Savage; Corneel Vandelanotte; Mitch J. Duncan; Cristina M. Caperchione; Richard R. Rosenkranz; Anetta Van Itallie; W. Kerry Mummery
This paper presents a new visual analytics framework for analyzing health-related physical activity data. Existing techniques mostly rely on node-links visualizations to represent the usage patterns as social networks. This work takes a different approach that provides interactive scatter-plot visualizations on classified and time-based data. By providing a flexible visualization that can provide different angles on the multidimensional and classified data, the analyst could have better understanding and insight on web user behavior compared to the traditional social network methods. The effectiveness of our method has been demonstrated with a case study on an online portal system for tracking passive physical activity, called Walk 2.0.
Ember: A Smartphone Web Browser Interface for the Blind BIBAFull-Text 106-112
  Isha Singh Jassi; S. Ruchika; Susmitha Pulakhandam; Subhayan Mukherjee; T. S. Ashwin; G. Ram Mohan Reddy
Ember is a smartphone web browser interface designed exclusively for the blind user. The Ember keypad enables blind users to type using their knowledge of Braille. The interface is intuitive to the blind user because the layout consists of a very few large targets and remains consistent throughout the application. The verbal command option provides another dimension for user-interface interaction. Twelve out of thirteen users found that Ember verbal command navigation was easier than using a traditional web browser. Ten out of thirteen users found it faster to use the Ember tactile method of navigation compared to a traditional web browser. The learning rate for both the tactile and verbal command methods was faster compared to the learning rate associated with a traditional web browser layout. Finally it was seen that five out of five users found it significantly faster to use the Ember keypad compared to the QWERTY keypad.
Mobile Visualization Supporting Awareness in Collaborative Software Development BIBAFull-Text 113-120
  Meng-Yao Chen; Cong Chen; Shu-Qing Liu; Kang Zhang
To foster innovation and competition, an increasing number of software teams are becoming distributed. Such distribution makes continuous collaboration and continuous awareness support a necessity and also a great challenge. Traditional desktop-based approaches are insufficient for the requirements of continuous awareness. In practical process of software development, an awareness tool on mobile devices is also desirable for team members to obtain the awareness information continuously. This paper addresses how to effectively present collaborative development activities using aesthetic visualization on mobile screens. Our approach supports multiple views suitable for software developers as well as team leaders. A small scale usability experiment has been conducted and reported.
NEI: A Framework for Dynamic News Event Exploration and Visualization BIBAFull-Text 121-128
  Xiaofei Guo; Juanzi Li; Ruibing Yang; Xiaoli Ma
Nowadays, there are many events reported by News Media everyday, which contains a massive number of news. People are getting more and more interested in understanding how an event evolves after it happens. News related to the same event or similar events usually has more common entities and stronger topic correlations, which is a new perspective to study news event. Due to the complexity of event evolving process, event visualization has been a big challenge for a long time.
   In this paper, we design a novel four-phase framework NEI (News Event Insight) that focuses on visualizing a news event properly and clearly, namely (1) Entity Topic Modeling. We extract topics and entities through timeline. (2) Temporal Topic Correlation Analysis. Based on the topic modeling result, we design two methods to select hot topics and build links for them. (3) Keyword Extraction. Specially, we combine string frequency with syntax features and use language models to acquire candidate keywords for representing topics. (4) Visualization. Visualization demonstrates the quantifying properties of topics related to a certain event. A case study shows our framework achieves promising results on both single event and similar events.
Visualising and systematizing a per-poor ICT intervention for Rural and Semi-urban Mothers in India BIBAFull-Text 129-138
  Priyamvada Tiwari; Keyur Sorathia
This paper presents an Information Communication Technology for Development (ICT4D) intervention through a novel audio assisted mobile application, designed for low literate mothers in rural and sub-urban parts of Assam in India. It explores new methods to enhance the usability of ICTs by adopting the per-poor or grassroots level innovation model which facilitates the poor to innovate for themselves through their interpretation of existing technologies. Systematically harvesting grassroots innovation is gaining momentum and attracting ICT interventions due to the increasing availability of low cost personalized mobile phones. Following a user centred design approach, we designed an audio-visual based application for the Nokia 6303. This would impart maternal health care information to low literate mothers and provide them with easier access to government health care facilities. Our research and field work involved 24 participants and investigated new modes of disseminating maternal health care information without disrupting the existing government health care system. We explored usage of Interactive Genetic Algorithms (IGAs) to redefine our layout from scratch and compared two methods of representing graphics- metaphorical icons and realistic visuals, observing significant preference for the latter. We found that grid based menu icons in small screen interfaces were more adaptable than a list based menu. To consolidate and validate the design proposed by us, we qualitatively tested a high fidelity prototype with 8 fresh participants. Our findings provide a possible systematic set of considerations that can be taken prior to realizing per-poor innovation in future ICT4Ds.

Visual Design and Art

Developing useful Visualizations of Domestic Energy Usage BIBAFull-Text 139-148
  Joris Suppers; Mark Apperley
The need and desire to promote energy awareness within households is steadily growing, and with this many different approaches for visualising energy use beyond the usual monthly bill, many in near real time, have emerged. These approaches are a positive step towards households becoming more environmentally conscious and in control of their energy usage, which is vitally important if greater energy use efficiency is to be achieved. This paper reviews the current state of research in domestic energy use visualisation from four perspectives: personal characteristics influencing and motivating behaviour of individuals; correctly informing the individual; the reality and effectiveness of feedback; and the utility and impact of social effects. An analysis of these four perspectives will further our understanding of how to create successful domestic energy use visualisations.
How Should We Use Colour in Euler Diagrams? BIBAFull-Text 149-158
  Andrew Blake; Gem Stapleton; Peter Rodgers; John Howse
This paper addresses the problem of how best to use colour in Euler diagrams. The choice of using coloured curves, rather than black curves, possibly with coloured fill is often made in tools that automatically draw Euler diagrams for information visualization as well as when they are drawn manually. We address the problem by empirically evaluating various different colour treatments: coloured or black curves combined with either no fill or coloured fill. By collecting performance data, we conclude that Euler diagrams with coloured curves and no fill significantly outperform all other colour treatments. Most automated layout algorithms adopt colour fill and are, thus, reducing the effectiveness of the Euler diagrams produced. As Euler diagrams can be used in a multitude of areas, ranging from crime control to social network analysis, our results stand to increase the ability of users to accurately and quickly extract information from their visualizations.
Towards a Cognitive Approach to User-Centered Visualization Design and Evaluation BIBAFull-Text 159-164
  Weidong Huang; Tomasz Bednarz
How we visualize graph data is important for us to make sense of it. A number of aesthetic criteria have been used in practice to guide the visualization process and judge the quality of graph drawings. These aesthetics are limited since they often conflict with each other. It is generally agreed that in order to make visualizations effective, well-grounded perception and cognitive theories and design principles are needed. Some attempts have been made to develop visualization theories. In this paper, we present a preliminary study which we conducted with a cognitive approach to add to this growing body of research. More specifically, we propose a graph visualization model, which is further conceptualized into a two-stage assessment cycle. Examples of potentially useful methodologies and theories are introduced and their implications for producing user-friendly visualizations are discussed.
Emergence and Artistic Visualization BIBAFull-Text 165-170
  Jennifer Seevinck
This research draws on theories of emergence to inform the creation of an artistic and direct visualization. This is an interactive artwork and drawing tool for creative participant experiences. As is discussed, emergence is characteristically creative. It is also debated across and within disciplines, resulting in a range of understandings as well as models. This paper shows how one field's understanding of emergence (complexity theory) can be used to facilitate emergence in another domain (design research) and, importantly provide the opportunity for someone to act creatively. This paper begins with a brief review of some theories of emergence to show how they interrelate and can effect the perception of emergent structures in an observer, and, correspondingly, the design for creative experience. This is subsequently demonstrated in the second section of the paper where an interactive artwork and drawing application, Of me with me, is presented. This artwork by the author was created during collaboration with community artists from Cerebral Palsy League. The discussion covers the application of emergence theories to create this visualization in order facilitate the perception of structures and creative behaviours in a participant and to facilitate self-efficacy in the community artist user group.
Art and Chartjunk: a Guide for NEUVis BIBAFull-Text 171-177
  Phillip Gough; Xavier Ho; Kate Dunn; Tomasz Bednarz
In the fast changing, hybrid and multi-disciplinary practices of artful information visualisation (artful infoVis) and artists using data to inform artworks, the act of translating data into an image can be fraught with peril. There is considerable debate around modes of visualization and their relationship with the underlying data. This paper outlines the debate between the opposing ideologies and, through assessment of design considerations and comparison of creative practice and visual analytics, formulates a set of guidelines for creative practitioners developing visualisations for Non-Expert Users (NEUVis).
Web-based Multiuser 3D Room Layout System Using Interactive Evolutionary Computation with Conjoint Analysis BIBAFull-Text 178-187
  Ryuya Akase; Yoshihiro Okada
In this paper, the authors propose a web-based 3D room layout system supporting the user preferences. To simulate the furniture and office layout, 3D layout systems are commonly used. However, generating 3D room layouts is a very time-consuming task because it needs complicated manual operations and much technical knowledge. Therefore, we need any tools that help us to easily generate 3D room layouts. The authors have been developing a 3D room layout system that has the following features:
   1. Analysis of user preference (Conjoint analysis).
   2. Optimization of 3D room layouts based on Interactive Evolutionary Computation (IEC).
   Although IEC is useful for applying the user preferences to the solution, there is a problem about the tiredness of user evaluation operations of IEC process because of the large search space of solutions. To cope with this problem, the authors adopted a prediction method for shrinking the search space and employed a multiscreen interface for reducing the tiredness of each user. In this paper, the authors also justify the usefulness of the system from the experimental results.

Short Papers

Hyperbolic Tree + Time Disc: Visualizing Hierarchical Time-series Data BIBAFull-Text 188-191
  Ning Li; Zhifang Jiang; Zixiang Liu; Haoxin Sun
In this paper, we propose a new method of visualizing hierarchical time-series data. We use the hyperbolic tree to visualize the hierarchical structure. The hyperbolic tree can visualize large hierarchical structure. It allocates more space for the nodes of our concern, with the entire hierarchical structure being displayed at the same time. We utilize the time disc, which is similar to the spiral, to display the time-series data. Unlike traditional bar charts and line graphs, the time disc is suited to visualizing large data set and supporting much better the identification of features in the data, such as periodicity and trends. The method can easily display large hierarchical structure and time-series data. We visualize the time series data of each child node by selecting the parent node in the hyperbolic tree, and then observe the similarities and differences between the nodes and the trends of the thing. We applied this method to the urban air quality data visualization and achieved good results.
Design Implications from the Preliminary Results of a Telemedicine Patient-Technology Interaction Study BIBAFull-Text 192-195
  Sakib Jalil; Trina Myers; Ian Atkinson
The global demographic shift of the proportion of ageing population is projected to be more than double in the next four decades. Consequently, healthcare systems will face strong demands from the increase in patients because the ageing population is prone to chronic diseases. A possible solution for some chronic diseases is to provide healthcare through in-home monitoring technology. However, current design considerations have a greater focus on how to deliver healthcare through these technologies than how the patients' experience the technologies. Hence, these technologies are often a digital version of the existing healthcare delivery system. This paper presents preliminary findings of a patient-technology study from the Human-Computer Interaction (HCI) perspective. A HCI empirical evaluation was conducted of patients' use of technology in a telemedicine clinical trial of type 2 diabetes. This paper describes the Clinical User-Experience Evaluation (CUE) method that was designed for this trial to explore medical monitoring in the digital age. Preliminary findings about design of future patient-centric in-home monitoring technology for type 2 diabetes are presented.
Radial vs. Cartesian Revisited: A Comparison of Space-Filling Visualizations BIBAFull-Text 196-199
  Minwook Kim; Geoffrey M. Draper
Radial visualization continues to be a popular design choice in information visualization systems, due perhaps in part to its aesthetic appeal. However, it is an open question whether radial visualizations are truly more effective than their Cartesian counterparts. In this paper, we describe an initial user trial from an ongoing empirical study of the SQiRL (Simple Query interface with a Radial Layout) visualization system, which supports both radial and Cartesian projections of stacked bar charts. Participants were shown 20 diagrams employing a mixture of radial and Cartesian layouts and were asked to perform basic analysis on each. The participants' speed and accuracy for both visualization types were recorded. Our initial findings suggest that, in spite of the widely perceived advantages of Cartesian visualization over radial visualization, both forms of layout are, in fact, equally usable. Moreover, radial visualization may have a slight advantage over Cartesian for certain tasks. In a follow-on study, we plan to test users' ability to create, as well as read and interpret, radial and Cartesian diagrams in SQiRL.
Vision Based Laser Controlled Keyboard System for the Disabled BIBAFull-Text 200-203
  Hiba Ahsan; Aarti Prabhu; S. D. Deeksha; Shridhar G. Domanal; T. S. Ashwin; G. Ram Mohana Reddy
In this paper, we have proposed a novel design for a vision based unistroke keyboard system for the disabled. The keyboard layout considers the commonly used character patterns, which makes it convenient for the user to type. In addition to this, Shift functionality is provided to accommodate a larger set of characters. A webcam is positioned so as to monitor the keyboard and the characters are identified based on the laser pointer which the user can control by minor head movements. Experimental results demonstrate that the design achieves very promising results, thus establishing a baseline for such models in this domain.
Large Scale, Collaborative, Invasive Species Planning and Visualisation Tool BIBAFull-Text 204-207
  Dylan Mathiesen; Trina Myers; Ian Atkinson
The allocation of resources to manage invasive species is decided by multiple land managers. However, these decisions are commonly made without full knowledge of, and access to, information about the landscape beyond the immediate areas of interest. Consequently, many decisions on pest management are made without consideration of other invaded areas by individuals who may not appreciate the broader implications. Landscape scale modelling can be enhanced through high speed species dispersal modelling combined with table sized interactive visualisation technologies that can incorporate large volumes of spatial data to better inform the decision-making process. This paper presents a project that combines these modelling and visualisation technologies so multiple stakeholders can engage with, and assess, interactions simultaneously. Then, pest management decisions can be based on a wider ecological and economical perspective.
Using Your Fingers to Think: Interactive Exploration of Subjective Constraints BIBAFull-Text 208-211
  Andrew Bennett; Christopher Lueg
There is a class of complex problems where solutions must satisfy multiple subjective criteria, while meeting specific quantifiable constraints. Route planning for leisurely travel is an example of a problem in this class, where constraints including total available time, transit times, and budget constraints determine whether a potential solution is acceptable to the prospective traveller. In this paper we present an interface that leverages, metaphorically, the elastic properties of a rubber band to allow playful interaction with relevant constraints. The resulting touch-based human computer interface enables the traveller to explore the solution space in the sense that constraints can be played with in order to find a route that meets the traveller's subjective preferences. Formal step-by-step evaluation with nine subjects confirms that leveraging the rubber band metaphor is useful in constraint satisfaction and that using the interface is intuitive since it leverages real-world experiences.
Metaphors in Interactive Visual Analytics BIBAFull-Text 212-215
  Jacob Cybulski; Susan Keller; Dilal Saundage
We intuitively understand primary metaphors because they spring from our lived experience as humans. This paper explores the role of primary metaphor in interactive visual analytics. We describe and provide examples of several primary metaphors that can be used in designing and communicating visual representations. We also illustrate how rich and immersive visual analytics environment can support intuitive interaction based around natural metaphors.
Photomosaic Generation for Photograph Collection Browsing BIBAFull-Text 216-219
  Kiho Sakamoto; Takayuki Itoh
A Photomosaic arranges many small photographs to represent a large image. Our study applies the photomosaics to a photograph browser CAT. Our implementation displays photomosaics while zooming out, and individual photographs while zooming in. Here, many photograph browsing software displays a set of photographs in the order of their times. To maintain this order of photographs, our photomosaic generation technique firstly arranges the given set of photographs in the order of those times, and then retouches so that the set of photographs forms a photomosaic-like scene. This paper presents our technique for photomosaic generation, and a user evaluation to discuss what kinds of photographs are preferable to be applied. We think this discussion should be fruitful for our future development of automatic photograph selection for photomosaic generation.
Super Resolution to Identify License Plate Numbers in Low Resolution Videos BIBAFull-Text 220-223
  Lakkhana Mallikarachchi; Anuja Dharmaratne
Surveillance videos are useful as a source for extracting information in many areas such as crime investigations and monitoring offences in public roads. In many occasions, required information cannot be extracted from these videos due to the poor quality of the video or due to the large distance from camera to the interested object. A multiple image super resolution based technique to improve license plate regions in low quality videos has been proposed in this paper. Moreover, a two step image registration technique based on phase correlation method has been proposed to align multiple license plate image regions. The evaluation of the method was done based on an automatic number plate recognition system. The impact to the recognition rates of automatic number plate recognition system by using the proposed method is measured. Compressed, low quality, real traffic videos were used as the dataset. According to the results, a significant improvement of recognition rates achieved with the proposed method.
Monocular Human Motion Tracking in Latent Space based on Sequential Immune Genetic Algorithm BIBAFull-Text 224-227
  Yi Li; Zhenfeng Wu; Ting Sun
In this paper, we formulate human motion tracking as a high dimensional constrained dynamic optimization problem. A novel generative method, called Sequential Immune Genetic Algorithm, is proposed for human motion tracking. The main contribution is that we introduce immune genetic algorithm (IGA) for pose optimization in latent space of human motion. As the latent space is low-dimensional and contains the prior knowledge of human motion, it makes pose analysis more efficient and accurate. We apply IGA for pose optimization. Compared with GA and other evolutionary methods, its main advantage is the ability to use the prior knowledge of human motion. As motion tracking is a dynamic optimization problem, we incorporate the temporal continuity information into the traditional IGA and propose a sequential IGA (S-IGA) algorithm. We demonstrate our methods on different videos of different motion types. Experimental results show that the S-IGA motion tracking method can achieve accurate and stable tracking of 3D human motion.
Data Visualisation Trends in Mobile Augmented Reality Applications BIBAFull-Text 228-231
  Callum Parker; Martin Tomitsch
According to Google Trends, mobile augmented reality (AR) apps will, after a brief hype-associated peak and decline, show again a more steady growth in the near future. Indeed, a review of currently available mobile AR apps suggests that they are embracing practical uses instead of simply showing off the capabilities of AR. Many of these apps are making information more ubiquitous without making the user necessarily aware of the data's origins, using graphics to represent multiple datasets. There has been however little research focusing on the trends in AR and the types of data visualisations used in mobile AR. The purpose of this paper is to fill that void by presenting an analysis of currently popular mobile AR apps on the market. Our findings from this small-scale investigation give an indication of the types of visualisation styles used in current mobile AR apps and highlight suggestions for how to make the information presented more relevant, for example by using better filtering methods.
Design of a Tangible Data Visualization BIBAFull-Text 232-235
  Alireza Rezaeian; Jared Donovan
In this paper we describe the design of DNA Jewellery, which is a wearable tangible data representation of personal DNA profile data. An iterative design process was followed to develop a 3D form-language that could be mapped to standard DNA profile data, with the aim of retaining readability of data while also producing an aesthetically pleasing and unique result in the area of personalized design. The work explores design issues with the production of data tangibles, contributes to a growing body of research exploring tangible representations of data and highlights the importance of approaches that move between technology, art and design.


Facial Expression Generation in 3D Space BIBAFull-Text 236-237
  P. K. S. Udana; Anuja Dharmaratne
Facial expression is one of the most powerful resources for people to coordinate conversation and communicate emotions and other mental, social, and physiological cues. Because of human's high sensitivity for facial expressions in many areas such as game, movie, avatars and social robot tries to mimic these facial expressions to their artificial human models to increase realistic feature. This paper proposes a novel methodology of combining ratio mapping technique and difference feature adding mechanism to generate facial expressions for mesh models in 3D space. A 3D point cloud data is taken as the input and preprocessing techniques such as spike removing and down sampling are applied to remove noise points and unwanted data points to improve the smoothness of construction model. Then a 2.5D mesh reconstruction algorithm is applied to generate a 3D face mesh. In the final stage proposed techniques applied to the generated face meshes.
Comparative impression analysis between real and virtual human skins BIBAFull-Text 238-239
  Fumie Banba; Takayuki Itoh; Naruhito Toyoda; Hitomi Otaka
It is a common problem for many people to keep their skins fine, and there have been huge number of cosmetics products. We have developed of image recognition and geometric modeling technique for impression analysis of human skins [1]. The technique firstly extracts parameters of micro-geometry of human skins from real photographs, as shown in Figure 1. It then constructs similar micro-geometry of human skins by a polygon-based shape modeling technique with the parameters including radii of pores and directional distribution of furrows, extracted from the real photographs, as shown in Figure 2. This poster introduces the impression analysis results of the skin images generated by our skin simulation technique.
An Android GPS-Based Navigation Application For Blind BIBAFull-Text 240-241
  K. K. Nisha; H. R. Pruthvi; Shwetha N. Hadimani; G. Ram Mohana Reddy; T. S. Ashwin; Shridhar Domanal
Visual Impairment makes the person depend on another person for all his works and daily chores. Through the application proposed in this paper, we aim to eliminate this dependency of a visually impaired person when travelling from one place to another. The main goal is to provide information regarding the current location, how much distance and time is required to reach the destination as well as provide the user with the directions and turns to be taken while travelling by providing continuous audio feedback in his understandable language.
A Feature Point Based Approach for Pose Variant Face Recognition BIBAFull-Text 242-243
  Madhawa Gunasekara; Anuja Dharmaratne; Damitha Sandaruwan
The Pose variation challenge with respect to missing people database scenario in computerized face recognition is addressed in this study. Moreover, relationships of 2D face images with the angle variations of 0°, 45° and 90° for the same person are obtained. A feature point based approach with geometric distances of the half of face is applied. Moreover, a mathematical model and an Artificial Neural Network model are implemented using curve fitting technique to predict the face images. The face recognition accuracy is mainly tested by using face hit ratio, with Sri Lankan test subjects.
Semantic Human Activity Detection in Videos BIBAFull-Text 244-245
  Hirantha Weerarathna; Anuja Dharmaratne
Many solutions have been proposed for human action detection in the past. Even though, almost all the solutions address only the detection of basic human activities such as 'shaking hands', 'sitting down' etc and all of them are based on the structure of the activity pattern. No considerable attention has been paid to detect more semantic activities (more meaningful activities) like 'smoking', 'fighting', 'riding', etc. Therefore existing solutions are not capable of identifying such semantic activities accurately. There are three main reasons behind this inability. First one is most activities do not have any identifiable common action structure in it ('talking'). Secondly even when there is such an identifiable structure that activity pattern does not follow every single instance of activity performing ('smoking'). Third reason is some activities are too complex to identify using such basic action pattern analyses approaches ('hurdling'). Nevertheless ultimate expectation of human activity detection is identifying more complex/meaningful activities. Therefore, it is essential to address this problem properly for implementation of more useful applications in the future. In this paper, we urge the importance of using contextual information associated with semantic activities to overcome above mentioned three problems.
Study on influence of the visibility in store lighting BIBAFull-Text 246-247
  Hiroki Fujita; Yoshio Nakashima; Mamoru Takamatsu
Human is earned the information of 80% with eye. If the object of appearance is changed, impression felt by human also is changed. The store is illuminated objects with lighting, different types of lighting was gave various impression to consumer. In store, lighting method, equipment and design are devised with human visibility. Visual information is affected to the consumer appetite. This study was focused on store lighting at supermarkets, aimed to digitalize and quantify the effects of the visibility on foods. From this result, it had been clarified that the optimum color temperature for each food were variant. Lighting with the optimum color temperature can make enhance the feature of food. Therefore, improvement of visibility was raised consumer appetite.
Participatory Data Analytics: Collaborative Interfaces for Data Composition and Visualisation BIBAFull-Text 248-249
  Daniel Filonik; Markus Rittenbruch; Marcus Foth
This research proposes the development of interfaces to support collaborative, community-driven inquiry into data, which we refer to as Participatory Data Analytics. Since the investigation is led by local communities, it is not possible to anticipate which data will be relevant and what questions are going to be asked. Therefore, users have to be able to construct and tailor visualisations to their own needs. The poster presents early work towards defining a suitable compositional model, which will allow users to mix, match, and manipulate data sets to obtain visual representations with little-to-no programming knowledge. Following a user-centred design process, we are subsequently planning to identify appropriate interaction techniques and metaphors for generating such visual specifications on wall-sized, multi-touch displays.