Aesthetics of information visualization (original) (raw)
A literature review on the intersections between art and information visualization
—Many scholars relate visualization of data and art from different points of view. In this survey we collect some key concepts linking art and visualization to see what can art practices and approaches bring to the information visualization, and what are the main differences between information visualization and artistic visualization.
Special issue on information visualisation
Multimedia Tools and Applications
We are in the Big Data era, characterized by an increasing amount of information generated everyday by all the phenomena concerning our life. These data are collected by many information sources and systems ranging from IoT sensors, large databases, social networks and interactive platforms, as well as generic media like images, videos and audios. Thus, to be able to comprehend the phenomena underlying this data there is the need of designing effective visualization tools. The papers selected for this special issue outline and evaluate some recent works on multimedia tools for information visualization and interaction with various types of data, including textual documents, graphs, spatio-temporal data, multimedia contents, and musical data. The international conference on information Visualisation (iV), one of the longest running on the subject has open forum philosophy of interdisciplinary drive to define its subject theme and discussion and focus group. This special issue of Multimedia Tools and Applications for Information Visualisation is based on the handful of submissions to the 22 nd International Conference on Information Visualisation (iV18), which was held in Italy in July 2018. The selected papers give examples of techniques, domains and number of case studies to address some issues. The papers presented in this Special Issue investigate different aspects of the theme highlighted above. The first set of papers [1, 2, 12, 16] investigate and evaluate the visualization of spatial, temporal and spatio-temporal data. Almeida et al. [2] consider how and why consideration of Level of Detail (LoD) plays a crucial role in analytics. They propose a Visual Analytics approach-VAST, allows users to simultaneous inspection of phenomenon using different LoDs. VAST demonstrates using LoDs will reveal different prospective and hence portraying different perception of the phenomenon.
The Diagram of Information Visualization
The Parsons Journal for Information Mapping (PJIM), 2012
In the last ten years the area of Information Visualization has witnessed an exponential increase in its popularity. Diagrammatic reasoning and visual epistemology are becoming readily accepted methods of research in many academic domains. Concurrently, information graphics and Infovis have grabbed the attention of a larger mainstream audience. This project communicates the history and development of Information Visualization discipline through an educational piece the audience can physically interact with. The visualized data are the results of an empirical work—the case study of 30 design projects developed in Information Visualization between 2005 and 2011—conducted in collaboration with the Austrian Institute of Technology. The resulting diagram has been transformed in an interactive three dimensional piece as part of an exhibition on diagrammatic reasoning. The piece shows the story of Information Visualization, from past to future. It traces its expansion and features the projects that have had great influence on the discipline. It suggests potential directions where this field may develop in the near future. In the piece, each tin represents a project that participated in the development of Information Visualization. Each tin contains a description of the project, author, data, and a QR code linking the project website. The red circles diameters indicate the relative impact each project had on the field of Information Visualization. The right wall shows the subjects and disciplines where Information Visualization will have great influence in the future. Projects are grouped by subject and distributed chronologically within the groups.
HAL (Le Centre pour la Communication Scientifique Directe), 2012
This article comprises notes about the 2010, 14th International Conference on Information Visualization in London, UK (Proceedings, 2010), which brought together researchers, artists, and professionals from more than 30 countries. The selected themes include: information and knowledge visualization theoryvisual thinking; art, design, and aesthetics in visualization; interaction design for information visualization; virtual reality environments; information spacesweb visualization; visual analytics, data mining, geoanalytics, tags, and clouds; visualization in built and rural environments; cultural heritage knowledge visualization; visualization techniques and applications, geometric modeling and imaging; and visualization in education. Artwork presented at the Symposium and Online Digital Art Gallery DART 2010 that accompanies the IV Conference illustrates the article.
Guest editorial: Special issue on information visualisation
Journal of Visual Languages & Computing, 2018
In the current information era, most aspects of life depend on and driven by data, information, knowledge and user experience. The infrastructure of an information-dependent society and drive for new innovation and direction of activities heavily relies on the quality of data, information and analysis of such entities from past to its projected future activities. Information Visualisation, Visual Analytics, Business Intelligence, machine learning and application domains are just a few of the current state of the art developments that effectively enhance understanding of these driving forces. There are several key interdependent determinants emerging that are becoming the focus of scientific activities, such as: raw data (origin, autonomous capture, classification, incompleteness, impurity, filtering), data scale transformation to knowledge acquisition and its dependencies on domain of application. Processing the relationship between these stages, from the raw data to visualisation, has added new impetus to the way these are understood and communicated. Visualisation has been one of the most used methods in presenting data and generating insights [1]. The tradition of use and communication by visualisation is deep rooted and helps us investigate new meanings by application to the humanities, history, art & design, and human factors & user experience studies. Modern day computer assisted analytics and visualisation has added momentum in developing tools that exploit metaphordriven techniques within many applied domains. The techniques are developed beyond visualisation to simplify the complexities, to reveal ambiguity, and to work with incompleteness. The next phase of this evolving field is to understand uncertainty and risk analysis; how this uncertainty is built into the processes that exist in all stages of the process, from raw data to the knowledge acquisition stage.
An Analysis of Information in Visualisation
Philosophers have relied on visual metaphors to analyse ideas and explain their theories at least since Plato. Descartes is famous for his system of axes, and Wittgenstein for his first design of truth table diagrams. Today, visualisation is a form of 'computer-aided seeing' information in data.
Readings in information visualization: using vision to think
1999
This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought.