Aesthetic Expectations for Information Visualization

This article explores the landscape of creative endeavors in the new media art and reflects on aesthetics of information visualization. When using computer based information visualization to show data interactively in many dimensions, the user can navigate across big data sets, find patterns, relationships, and structures that would be invisible if presented numerically. The authors also explore ways of combining information visualization techniques with the principles of creative design, enhancing artistic influences on the technical implementations, and raising the level of training in design. Finally, the authors offer suggestions for creating knowledge visualizations with the use of art and graphics to strengthen the readiness of computer scientists to fulfill aesthetic expectations and gain recognition from art world specialists for factual solutions done in visualization projects and new forms of art.

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Extending the Attribute Explorer to Support Professional Team-Sport Analysis

Information Visualization ◽

10.1057/palgrave.ivs.9500178 ◽

2008 ◽

Vol 7 (2) ◽

pp. 163-169 ◽

Cited By ~ 4

Author(s):

Pär-Anders Albinsson ◽

Dennis Andersson

Keyword(s):

Information Visualization ◽

Team Sport ◽

Interactive Systems ◽

High Dimensional ◽

Massive Data ◽

Data Sets ◽

Event Data ◽

Football Game ◽

Visualization Techniques ◽

Sport Analysis

Advances in interactive systems and the ability to manage increasing amounts of high-dimensional data provide new opportunities in numerous domains. Information visualization techniques are especially useful in situations where analysts seek patterns and information of interest in massive data sets. In this article, we propose an extension of the original Attribute Explorer (AE) technique by Spence and colleagues to take on the challenges presented in the domain of professional team-sport analysis. We describe the implementation of an extended AE and use football game-event data to highlight the new possibilities.

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Queering New Media Art : Histories & Asking Questions about Nothing

Media-N ◽

10.21900/j.median.v14i1.59 ◽

2018 ◽

Vol 14 (1) ◽

pp. 78-80

Author(s):

Richard Rinehart

Keyword(s):

New Media ◽

Traditional Culture ◽

Art World ◽

Media Art ◽

New Media Art ◽

Art Historians ◽

Asking Questions ◽

Cultural Amnesia

Not rooted in a traditional culture or ancestral homeland, Queerness constitutes ephemeral cultures, continually reinvented and reimagined. Queerness is under constant threat of erasure from cultural amnesia and political malice. Academia and the art world have responded to this erasure with alternately heroic and halting efforts. This paper suggests ways in which this erasure manifests, from historic forces to contemporary discourses. The author attempts to assess various responses to queer erasure in the overlapping enclaves of new media art comprised of artists, academics, writers, and curators. Lastly, this paper will consider how new media art inflects or reframes ongoing conversations around queer social erasure and how artists and art historians work against the forces of nothingness.

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Information Visualization Techniques for Big Data

Geospatial Research ◽

10.4018/978-1-4666-9845-1.ch080 ◽

2016 ◽

pp. 1677-1692

Author(s):

William H. Hsu

Keyword(s):

Information Visualization ◽

Scale Up ◽

Analytical Techniques ◽

Large Data ◽

Visual Display ◽

Data Representation ◽

Heterogeneous Data ◽

Data Sets ◽

Visualization Techniques ◽

Answering Questions

This chapter presents challenges and recommended practices for visualizing data about phenomena that are observed or simulated across space and time. Some data may be collected for the express purpose of answering questions through quantitative analysis and simulation, especially about future occurrences or continuations of the phenomena – that is, prediction. In this case, analytical computations may serve two purposes: to prepare the data for presentation and to answer questions by producing information, especially an informative model, that can also be visualized. These purposes may have significant overlap. Thus, the focus of the chapter is about analytical techniques for visual display of quantitative data and information that scale up to large data sets. It begins by surveying trends in educational and scientific use of visualization and reviewing taxonomies of data to be visualized. Next, it reviews aspects of spatiotemporal data that pose challenges, such as heterogeneity and scale, along with techniques for dealing specifically with geospatial data and text. An exploration of concrete applications then follows. Finally, tenets of information visualization design, put forward by Tufte and other experts on data representation and presentation, are considered in the context of analytical applications for heterogeneous data in spatiotemporal domains.

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A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data

Information Visualization ◽

10.1057/palgrave.ivs.9500091 ◽

2005 ◽

Vol 4 (2) ◽

pp. 96-113 ◽

Cited By ~ 114

Author(s):

Jinwook Seo ◽

Ben Shneiderman

Keyword(s):

Statistical Methods ◽

Information Visualization ◽

Feature Detection ◽

Two Dimensions ◽

Three Dimensions ◽

Multidimensional Data ◽

Data Sets ◽

Interactive Exploration ◽

Axis Parallel ◽

Visualization Techniques

Interactive exploration of multidimensional data sets is challenging because: (1) it is difficult to comprehend patterns in more than three dimensions, and (2) current systems often are a patchwork of graphical and statistical methods leaving many researchers uncertain about how to explore their data in an orderly manner. We offer a set of principles and a novel rank-by-feature framework that could enable users to better understand distributions in one (1D) or two dimensions (2D), and then discover relationships, clusters, gaps, outliers, and other features. Users of our framework can view graphical presentations (histograms, boxplots, and scatterplots), and then choose a feature detection criterion to rank 1D or 2D axis-parallel projections. By combining information visualization techniques (overview, coordination, and dynamic query) with summaries and statistical methods users can systematically examine the most important 1D and 2D axis-parallel projections. We summarize our Graphics, Ranking, and Interaction for Discovery (GRID) principles as: (1) study 1D, study 2D, then find features (2) ranking guides insight, statistics confirm. We implemented the rank-by-feature framework in the Hierarchical Clustering Explorer, but the same data exploration principles could enable users to organize their discovery process so as to produce more thorough analyses and extract deeper insights in any multidimensional data application, such as spreadsheets, statistical packages, or information visualization tools.

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YENİ MEDYADA ÇAĞINDA AKILLI TELEFONLARDA FOTOĞRAF

e-Journal of New World Sciences Academy ◽

10.12739/nwsa.2020.15.4.d0263 ◽

2020 ◽

Vol 15 (4) ◽

pp. 233-241

Author(s):

Ayşe Kahraman

Keyword(s):

New Media ◽

Mobile Phone ◽

Science And Technology ◽

The Internet ◽

New Media Art ◽

Communication Processes ◽

Constant Change ◽

Computer Based ◽

Media And Technology ◽

Technological Opportunities

With combining new media and technology, there has emerged a different field. So, it has been made hard to determine the definition and scope of the new media. Constant change and development of technological opportunities also affect communication processes. Besides, the origin of the new media is computer-based; it has become desktop publishing programs, smart tablets, and manipulations on photos. The merging of photography and new media art has become one of the most popular areas via technology and the internet. This article gives information about the formation, development, and technologies of photography in smartphones in the new media age. The study aims to provide information about what is photography, photography as a form of art, the art of new media, technological migration from the camera to the mobile phone, photographs on smartphones from new media tools, advances in science and technology, and how photography is continuously increasing. It is thought that the study may contribute to the field literature to be under a single roof.

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Information Visualization Techniques for Big Data

Packaging Digital Information for Enhanced Learning and Analysis - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-4666-4462-5.ch009 ◽

2014 ◽

pp. 184-197

Author(s):

William H. Hsu

Keyword(s):

Information Visualization ◽

Scale Up ◽

Analytical Techniques ◽

Large Data ◽

Visual Display ◽

Data Representation ◽

Heterogeneous Data ◽

Data Sets ◽

Visualization Techniques ◽

Answering Questions

This chapter presents challenges and recommended practices for visualizing data about phenomena that are observed or simulated across space and time. Some data may be collected for the express purpose of answering questions through quantitative analysis and simulation, especially about future occurrences or continuations of the phenomena – that is, prediction. In this case, analytical computations may serve two purposes: to prepare the data for presentation and to answer questions by producing information, especially an informative model, that can also be visualized. These purposes may have significant overlap. Thus, the focus of the chapter is about analytical techniques for visual display of quantitative data and information that scale up to large data sets. It begins by surveying trends in educational and scientific use of visualization and reviewing taxonomies of data to be visualized. Next, it reviews aspects of spatiotemporal data that pose challenges, such as heterogeneity and scale, along with techniques for dealing specifically with geospatial data and text. An exploration of concrete applications then follows. Finally, tenets of information visualization design, put forward by Tufte and other experts on data representation and presentation, are considered in the context of analytical applications for heterogeneous data in spatiotemporal domains.

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Visualizations for Digital Libraries

Information Technology and Libraries ◽

10.6017/ital.v25i2.3335 ◽

2006 ◽

Vol 25 (2) ◽

pp. 88 ◽

Cited By ~ 4

Author(s):

Gang Wan

Keyword(s):

Information Visualization ◽

Digital Libraries ◽

Research Area ◽

The Internet ◽

Library Users ◽

Computer Aided ◽

New Research ◽

Visualization Techniques ◽

User Friendly ◽

Combining Information

The concept of digital libraries is familiar to both librarians and library patrons today. These new libraries have broken the limits of space and distance by delivering information in various formats via the Internet. Since most digital libraries contain a colossal amount of information, it is critical to design more user-friendly interfaces to explore, understand, and manage their content. One important technique for designing such interfaces is information visualization. Although computer-aided information visualization is a relatively new research area, numerous visualization applications already exist in various fields today. Furthermore, many library professionals are also starting to realize that combining information visualization techniques and current library technologies, such as digital libraries, can help library users find information more effectively and efficiently. This article first discusses three major tasks that most visualization for digital libraries emphasize, and then introduces several current applications of information visualization for digital libraries.

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