Introduction to Human-Centered Visualization Environments

Kerren, Andreas; Ebert, Achim; Meyer, Joerg

doi:10.1007/978-3-540-71949-6_1

Cited by 22 publications

(24 citation statements)

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“…These actions, in the context of exploration of scientific articles, include selecting elements, manipulating them, moving within the visualization environment, and reading the content of each document [39]. Generally, interaction with traditional scientific databases, whose interfaces are based on windows, icons, menus, and pointers, is deficient because only the mouse and keyboard are used as interaction elements, leaving the user's voice completely aside, not to mention the potential of the natural movement of his hands.…”

Section: Related Workmentioning

confidence: 99%

Scientific Articles Exploration System Model based in Immersive Virtual Reality and Natural Language Processing Techniques

Alfaro¹,

Linares²,

Herrera³

2018

ijacsa

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Abstract-After having carried out a historical review and identifying the state of the art in relation to the interfaces for the exploration of scientific articles, the authors propose a model based in an immersive virtual environment, natural user interfaces and natural language processing, which provides an excellent experience for the user and allows for better use of some of its capabilities, for example, intuition and cognition in 3-dimensional environments. In this work, the Oculus Rift and Leap Motion Hardware devices are used. This work aims to contribute to the proposal of a tool which would facilitate and optimize the arduous task of reviewing literature in scientific databases. The case study is the exploration and information retrieval of scientific articles using ALICIA (Scientific database of Perú). Finally, conclusions and recommendations for future work are laid out and discussed.

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Section: Related Workmentioning

confidence: 99%

Scientific Articles Exploration System Model based in Immersive Virtual Reality and Natural Language Processing Techniques

Alfaro¹,

Linares²,

Herrera³

2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…In context of information visualization, people usually differentiate between several data types: univariate data (1D), bivariate data (2D), trivariate data (3D), multidimensional or multivariate data (nD), temporal data, tree or hierarchical data, and network or graph data [56]. The data values themselves can be classified according to diverse scales: nominal, ordinal, and quantitative.…”

Section: Data Specificsmentioning

confidence: 99%

Crowdsourcing for Information Visualization: Promises and Pitfalls

Borgo

Lee

Bach

et al. 2017

Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments

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“…3a). Moreover, the amount of textual information contained in nodes should be limited because too much will quickly clutter the display space, causing information overload [87], [98]. For this reason, many tree layout algorithms have been developed to optimize the visual representation of the tree [99], [100], [101], [102].…”

Section: Visualizing Software Organizationmentioning

confidence: 99%

Visualization of the Static Aspects of Software: A Survey

Caserta

Zendra

2011

IEEE Trans. Visual. Comput. Graphics

113

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Abstract-Software is usually complex and always intangible. In practice, the development and maintenance processes are timeconsuming activities mainly because software complexity is difficult to manage. Graphical visualization of software has the potential to result in a better and faster understanding of its design and functionality, thus saving time and providing valuable information to improve its quality. However, visualizing software is not an easy task because of the huge amount of information comprised in the software. Furthermore, the information content increases significantly once the time dimension to visualize the evolution of the software is taken into account. Human perception of information and cognitive factors must thus be taken into account to improve the understandability of the visualization. In this paper, we survey visualization techniques, both 2D-and 3D-based, representing the static aspects of the software and its evolution. We categorize these techniques according to the issues they focus on, in order to help compare them and identify the most relevant techniques and tools for a given problem.

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Introduction to Human-Centered Visualization Environments

Cited by 22 publications

References 0 publications

Scientific Articles Exploration System Model based in Immersive Virtual Reality and Natural Language Processing Techniques

Scientific Articles Exploration System Model based in Immersive Virtual Reality and Natural Language Processing Techniques

Crowdsourcing for Information Visualization: Promises and Pitfalls

Visualization of the Static Aspects of Software: A Survey

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